Triple

T4108005
Position Surface form Disambiguated ID Type / Status
Subject Nueva Ecija E88501 entity
Predicate hasMunicipality P847 FINISHED
Object Cabiao
Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
 E413956 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: Cabiao | Statement: [Nueva Ecija, hasMunicipality, Cabiao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cabiao
Context triple: [Nueva Ecija, hasMunicipality, Cabiao]
  • A. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • B. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • C. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • D. Kaili
    Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
  • E. Vina
    Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • 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: Cabiao
Triple: [Nueva Ecija, hasMunicipality, Cabiao]
Generated description
Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cabiao
Target entity description: Cabiao is a municipality in the province of Nueva Ecija in the Philippines, known for its agricultural economy and rural communities.
  • A. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • B. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • C. Sarangani
    Sarangani is a coastal province in the southern Philippines known for its rich marine biodiversity, tuna industry, and diverse indigenous cultures.
  • D. Kaili
    Kaili is a county-level city in southeastern Guizhou, China, known as a cultural center of the Miao and Dong ethnic minorities and a gateway to surrounding minority villages.
  • E. Vina
    Vina is an alternate given name of Fay Wray, the Canadian-American actress best known for her iconic role in the 1933 film "King Kong."
  • 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_69aed9484fb881909146f4c772ad277c completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af019e23c481909578eba1c9270282 completed March 9, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b56b8240248190afd026a450958d4c completed March 14, 2026, 2:06 p.m.
NEDg Description generation batch_69b56cbf12348190836f79e509468a3d completed March 14, 2026, 2:12 p.m.
NED2 Entity disambiguation (via description) batch_69b570aef9008190bf8ef2deb00178ae completed March 14, 2026, 2:29 p.m.
Created at: March 9, 2026, 3:40 p.m.