Triple

T13057592
Position Surface form Disambiguated ID Type / Status
Subject Northern Leyte E327617 entity
Predicate containsCity P294 FINISHED
Object Merida, Leyte
Merida, Leyte is a coastal municipality in the province of Leyte in the Philippines, known for its rural communities and agricultural economy.
 E1175746 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: Merida, Leyte | Statement: [Northern Leyte, containsCity, Merida, Leyte]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Merida, Leyte
Context triple: [Northern Leyte, containsCity, Merida, Leyte]
  • A. La Paz, Leyte
    La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • B. San Miguel, Iloilo
    San Miguel, Iloilo is a landlocked municipality in the province of Iloilo in the Philippines, known for its agricultural economy and proximity to Iloilo City.
  • C. Palompon, Leyte
    Palompon, Leyte is a coastal municipality in the province of Leyte in the Philippines, known as the gateway to the popular sandbar destination Kalanggaman Island.
  • D. Jaro, Leyte
    Jaro is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • E. Danao City
    Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
  • 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: Merida, Leyte
Triple: [Northern Leyte, containsCity, Merida, Leyte]
Generated description
Merida, Leyte is a coastal municipality in the province of Leyte in the Philippines, known for its rural communities and agricultural economy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Merida, Leyte
Target entity description: Merida, Leyte is a coastal municipality in the province of Leyte in the Philippines, known for its rural communities and agricultural economy.
  • A. La Paz, Leyte
    La Paz, Leyte is a small municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • B. San Miguel, Iloilo
    San Miguel, Iloilo is a landlocked municipality in the province of Iloilo in the Philippines, known for its agricultural economy and proximity to Iloilo City.
  • C. Palompon, Leyte
    Palompon, Leyte is a coastal municipality in the province of Leyte in the Philippines, known as the gateway to the popular sandbar destination Kalanggaman Island.
  • D. Jaro, Leyte
    Jaro is a municipality in the province of Leyte in the Eastern Visayas region of the Philippines.
  • E. Danao City
    Danao City is a component city in the province of Cebu in the Philippines, known historically for its gun-making industry and as a growing commercial and industrial hub in the region.
  • 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_69ff8752207c81908369bce03b56b25e completed May 9, 2026, 7:13 p.m.
NEDg Description generation batch_69ff8b4bbd88819087d62c9d1b647ce0 completed May 9, 2026, 7:30 p.m.
NED2 Entity disambiguation (via description) batch_69ff8bf65a948190a1dadfd3b8496c0a completed May 9, 2026, 7:33 p.m.
Created at: April 9, 2026, 8:58 p.m.