Triple

T9483320
Position Surface form Disambiguated ID Type / Status
Subject Metropolitan Cebu E228699 entity
Predicate containsMunicipality P852 FINISHED
Object Liloan E261534 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: Liloan | Statement: [Metropolitan Cebu, containsMunicipality, Liloan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Liloan
Context triple: [Metropolitan Cebu, containsMunicipality, Liloan]
  • A. Liloan chosen
    Liloan is a coastal municipality in the province of Cebu in the Philippines, known for its historic lighthouse and scenic shoreline.
  • B. Lawaan
    Lawaan is a coastal municipality in the province of Eastern Samar in the Philippines, known for its rural communities and natural landscapes.
  • C. Kaliua
    Kaliua is a town in western Tanzania that serves as the administrative and commercial center of Kaliua District in Tabora Region.
  • D. Laukahi
    Laukahi is a town located in the Madhubani district of the Indian state of Bihar.
  • E. Lēʻahi
    Lēʻahi is the Hawaiian name for Diamond Head, the iconic volcanic tuff cone and landmark overlooking Waikīkī on the island of Oʻahu.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804c859081908c261ad16b501f0d completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12d0bf0c08190ab96db3eb522c91e completed April 4, 2026, 3:23 p.m.
Created at: March 30, 2026, 7:55 p.m.