Triple

T8079241
Position Surface form Disambiguated ID Type / Status
Subject Batangas E188572 entity
Predicate hasMunicipality P847 FINISHED
Object Calaca
Calaca is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and traditional festivals.
E710446 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: Calaca | Statement: [Batangas, hasMunicipality, Calaca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calaca
Context triple: [Batangas, hasMunicipality, Calaca]
  • A. Pincoya
    Pincoya is a sea spirit from Chilote mythology, depicted as a beautiful woman who controls the abundance of fish and marine life along the coasts of southern Chile.
  • B. Chepén
    Chepén is a city in northern Peru known for its agricultural production and location within the coastal La Libertad Region.
  • C. Huancaya
    Huancaya is a picturesque Andean village in Peru renowned for its turquoise stepped waterfalls, stone bridges, and traditional highland scenery within the Nor Yauyos-Cochas Landscape Reserve.
  • D. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • E. Mulegé
    Mulegé is a large municipality in the Mexican state of Baja California Sur, known for its desert landscapes, coastal areas along the Gulf of California, and historic oasis town of the same name.
  • 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: Calaca
Triple: [Batangas, hasMunicipality, Calaca]
Generated description
Calaca is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and traditional festivals.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Calaca
Target entity description: Calaca is a municipality in the province of Batangas in the Philippines, known for its agricultural economy and traditional festivals.
  • A. Pincoya
    Pincoya is a sea spirit from Chilote mythology, depicted as a beautiful woman who controls the abundance of fish and marine life along the coasts of southern Chile.
  • B. Chepén
    Chepén is a city in northern Peru known for its agricultural production and location within the coastal La Libertad Region.
  • C. Huancaya
    Huancaya is a picturesque Andean village in Peru renowned for its turquoise stepped waterfalls, stone bridges, and traditional highland scenery within the Nor Yauyos-Cochas Landscape Reserve.
  • D. Sipakapense
    Sipakapense is a Mayan language spoken by the Sipakapense people of the western highlands of Guatemala.
  • E. Mulegé
    Mulegé is a large municipality in the Mexican state of Baja California Sur, known for its desert landscapes, coastal areas along the Gulf of California, and historic oasis town of the same name.
  • 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_69ca82b50c708190863f661d438e68df completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb40a3f01c819096a2c9d5d5199fe6 completed March 31, 2026, 3:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63f79ac08190af49e77bee67921d completed April 1, 2026, 12:16 a.m.
NEDg Description generation batch_69cc651d340c819089306bac7110f57a completed April 1, 2026, 12:21 a.m.
NED2 Entity disambiguation (via description) batch_69cc666ecc04819092ee4cc035dde627 completed April 1, 2026, 12:27 a.m.
Created at: March 30, 2026, 5:28 p.m.