Triple

T11072322
Position Surface form Disambiguated ID Type / Status
Subject Luneta E261775 entity
Predicate alsoKnownAs P39 FINISHED
Object Bagumbayan E465739 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: Bagumbayan | Statement: [Luneta, alsoKnownAs, Bagumbayan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bagumbayan
Context triple: [Luneta, alsoKnownAs, Bagumbayan]
  • A. Bagumbayan
    Bagumbayan is a landlocked agricultural municipality in the province of Sultan Kudarat in the Philippines, known for its vast farmlands and rural communities.
  • B. Bagumbayan chosen
    Bagumbayan is a barangay (village-level administrative division) located within the highly urbanized city of Taguig in Metro Manila, Philippines.
  • C. Balamban
    Balamban is a coastal municipality in the province of Cebu in the Philippines, known for its shipbuilding industry and growing economic zone.
  • D. Himamaylan
    Himamaylan is a coastal component city in the southern part of Negros Occidental in the Philippines, known historically as one of the province’s older settlements.
  • E. Balayan
    Balayan is a historic coastal municipality in the province of Batangas in the Philippines, known for its heritage houses and annual Parada ng Lechon festival.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7994cd5c481909fc7de795fdafddc completed April 9, 2026, 12:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e76a49fc8190945f4770bf808b43 completed April 18, 2026, 8:19 p.m.
Created at: April 8, 2026, 9:26 p.m.