Triple

T13057581
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Capoocan
Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
E1019940 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: Capoocan | Statement: [Northern Leyte, containsCity, Capoocan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Capoocan
Context triple: [Northern Leyte, containsCity, Capoocan]
  • A. Macuspana
    Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
  • B. Camajuaní
    Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
  • C. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • D. Copala
    Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
  • E. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • 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: Capoocan
Triple: [Northern Leyte, containsCity, Capoocan]
Generated description
Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Capoocan
Target entity description: Capoocan is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • A. Macuspana
    Macuspana is a significant urban center and municipality in the Mexican state of Tabasco, known for its role in the region’s political and economic life.
  • B. Camajuaní
    Camajuaní is a municipality in central Cuba known for its agricultural economy and location within Villa Clara Province.
  • C. Cajidiocan
    Cajidiocan is a coastal municipality located on Sibuyan Island in the province of Romblon in the Philippines.
  • D. Copala
    Copala is a coastal town in the Costa Chica region of Guerrero, Mexico, known for its Afro-Mexican culture and Pacific shoreline.
  • E. Tafoya
    Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
  • 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_69d8076e64308190904fb5c93517c901 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d980bd305c8190bcf191b2d35ec8de completed April 10, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d5ff8c308190a40274c68a1c5da3 completed May 3, 2026, 4:58 a.m.
NEDg Description generation batch_69f6d8c8a8b48190a2dc2f6b5e7d37e0 completed May 3, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_69f6d98d6ba48190b63f6330ba215c36 completed May 3, 2026, 5:13 a.m.
Created at: April 9, 2026, 8:58 p.m.