Triple

T3771650

Position	Surface form	Disambiguated ID	Type / Status
Subject	Antonio Luna	`E83211`	entity
Predicate	placeOfBirth	`P1`	FINISHED
Object	Binondo, Manila, Captaincy General of the Philippines Binondo, Manila, in the former Captaincy General of the Philippines, is a historic district of Manila known as one of the world’s oldest Chinatowns and a major center of commerce and culture during the Spanish colonial period.	`E387046`	NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini

Instruction

Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).

Input

Phrase: Binondo, Manila, Captaincy General of the Philippines | Statement: [Antonio Luna, placeOfBirth, Binondo, Manila, Captaincy General of the Philippines]

NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07

Target entity: Binondo, Manila, Captaincy General of the Philippines
Context triple: [Antonio Luna, placeOfBirth, Binondo, Manila, Captaincy General of the Philippines]

A. San Nicolas, Manila
San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
B. Baler, Tayabas, Captaincy General of the Philippines
Baler, Tayabas, in the former Captaincy General of the Philippines, is a historic coastal town in present-day Aurora province best known as the birthplace of Philippine President Manuel L. Quezon.
C. Santa Cruz, Manila
Santa Cruz, Manila is a historic commercial and residential district in the city of Manila, Philippines, known for its busy streets, old churches, and proximity to the city’s traditional Chinatown area.
D. Sampaloc, Manila
Sampaloc, Manila is a central district of Manila, Philippines, known as an educational hub that hosts several major universities and colleges.
E. Captaincy General of the Philippines
The Captaincy General of the Philippines was a major Spanish colonial administrative and military district in Southeast Asia that governed the Philippine Islands from the 16th to the 19th century.
F. None of above. chosen
G. Unsure - the case is ambiguous/there is not enough information to decide.

NEDg Description generation gpt-5.1

Instruction

Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"

Input

Entity: Binondo, Manila, Captaincy General of the Philippines
Triple: [Antonio Luna, placeOfBirth, Binondo, Manila, Captaincy General of the Philippines]

Generated description

Binondo, Manila, in the former Captaincy General of the Philippines, is a historic district of Manila known as one of the world’s oldest Chinatowns and a major center of commerce and culture during the Spanish colonial period.

NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07

Target entity: Binondo, Manila, Captaincy General of the Philippines
Target entity description: Binondo, Manila, in the former Captaincy General of the Philippines, is a historic district of Manila known as one of the world’s oldest Chinatowns and a major center of commerce and culture during the Spanish colonial period.

A. San Nicolas, Manila
San Nicolas, Manila is a historic riverside district in Manila, Philippines, known for its old warehouses, heritage houses, and proximity to the Chinatown area of Binondo.
B. Baler, Tayabas, Captaincy General of the Philippines
Baler, Tayabas, in the former Captaincy General of the Philippines, is a historic coastal town in present-day Aurora province best known as the birthplace of Philippine President Manuel L. Quezon.
C. Santa Cruz, Manila
Santa Cruz, Manila is a historic commercial and residential district in the city of Manila, Philippines, known for its busy streets, old churches, and proximity to the city’s traditional Chinatown area.
D. Sampaloc, Manila
Sampaloc, Manila is a central district of Manila, Philippines, known as an educational hub that hosts several major universities and colleges.
E. Captaincy General of the Philippines
The Captaincy General of the Philippines was a major Spanish colonial administrative and military district in Southeast Asia that governed the Philippine Islands from the 16th to the 19th century.
F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step	Stage	Batch ID	Status	When
creating	Elicitation	`batch_69ad8b235e608190b5a2b1d1bfcef50b`	completed	March 8, 2026, 2:43 p.m.
NER	Named-entity recognition	`batch_69adcc3219b881908a2f82126f9a679d`	completed	March 8, 2026, 7:21 p.m.
NED1	Entity disambiguation (via context triple)	`batch_69b4e52bb2d08190b457dd517ff366d7`	completed	March 14, 2026, 4:33 a.m.
NEDg	Description generation	`batch_69b4e99c942c819094e2228bd3dc3b30`	completed	March 14, 2026, 4:52 a.m.
NED2	Entity disambiguation (via description)	`batch_69b4ea201fe8819098ac5459c39b258c`	completed	March 14, 2026, 4:54 a.m.

Created at: March 8, 2026, 3:36 p.m.