Triple

T9748416
Position Surface form Disambiguated ID Type / Status
Subject Cebu region E236374 entity
Predicate contains P35 FINISHED
Object Talisay City E364591 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: Talisay City | Statement: [Cebu region, contains, Talisay City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Talisay City
Context triple: [Cebu region, contains, Talisay City]
  • A. Talisay City chosen
    Talisay City is a coastal component city in the province of Cebu in the Philippines, known for its historical significance and proximity to Metro Cebu.
  • B. Talisay
    Talisay is a city in the Philippine province of Negros Occidental known for its sugarcane industry and historical landmarks.
  • C. Talisay
    Talisay is a coastal municipality in the Philippine province of Camarines Norte known for its rural communities and access to fishing and agricultural resources.
  • 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. Masbate City
    Masbate City is a coastal component city and the capital of Masbate Province in the Philippines, known as a commercial and administrative center in the Bicol 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_69de83df5bf881908d775354ace05e66 completed April 14, 2026, 6:13 p.m.
Created at: March 30, 2026, 8:23 p.m.