Triple

T9748415
Position Surface form Disambiguated ID Type / Status
Subject Cebu region E236374 entity
Predicate contains P35 FINISHED
Object Lapu-Lapu City E92647 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: Lapu-Lapu City | Statement: [Cebu region, contains, Lapu-Lapu City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lapu-Lapu City
Context triple: [Cebu region, contains, 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 (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_69ca84d4eddc8190996fec1417d2bae8 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9f68f8b88190b44babf5ae17dfef completed April 1, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69de54a30b748190bb791078e9dde442 completed April 14, 2026, 2:52 p.m.
Created at: March 30, 2026, 8:23 p.m.