Triple

T20047116
Position Surface form Disambiguated ID Type / Status
Subject Mactan wharves E497588 entity
Predicate near P350 FINISHED
Object Lapu-Lapu City NE NERFINISHED

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: Lapu-Lapu City | Statement: [Mactan wharves, near, Lapu-Lapu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapu-Lapu City
Context triple: [Mactan wharves, near, Lapu-Lapu City]
  • A. Lapu-Lapu City chosen
    Lapu-Lapu City is a highly urbanized city in the province of Cebu in the Philippines, known for its historical significance as the site of the Battle of Mactan and as a major tourism and economic hub.
  • B. Surigao City
    Surigao City is a coastal city in the Caraga region of northeastern Mindanao in the Philippines, known as the “City of Island Adventures” for its numerous islands, beaches, and marine attractions.
  • C. Palayan City
    Palayan City is a planned component city in the Philippines known for serving as the administrative and governmental center of the province of Nueva Ecija.
  • D. Legazpi City
    Legazpi City is a coastal city in the Philippines known as the regional center of the Bicol Region and famed for its views of the Mayon Volcano.
  • 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.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6632b2de48190abe2b277d89eb695 completed April 20, 2026, 5:32 p.m.
Created at: April 11, 2026, 3:37 p.m.