Triple

T11572855
Position Surface form Disambiguated ID Type / Status
Subject Miagao Church E274432 entity
Predicate locatedIn P40 FINISHED
Object Miagao E274432 NE FINISHED

How this triple was built (2 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: Miagao | Statement: [Miagao Church, locatedIn, Miagao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miagao
Context triple: [Miagao Church, locatedIn, Miagao]
  • A. Miagao chosen
    Miagao is a coastal municipality in the Philippine province of Iloilo best known for its UNESCO-listed Miagao Church, a prime example of Baroque architecture.
  • B. Mangilao
    Mangilao is a village on the eastern side of Guam known for hosting the University of Guam and Guam Community College.
  • C. Maljamar
    Maljamar is a small unincorporated community in southeastern New Mexico known historically for its oil and gas activity.
  • D. Mayong
    Mayong is a village in Assam, India, historically renowned as the "land of black magic" and associated with numerous myths, occult practices, and tantric traditions.
  • E. Maragondon
    Maragondon is a historic rural municipality in the province of Cavite in the Philippines, known for its Spanish-era heritage sites and nearby natural attractions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e713d18ccc8190a63256c3cc1c2f59 completed April 21, 2026, 6:06 a.m.
Created at: April 8, 2026, 9:38 p.m.