Triple

T14503583
Position Surface form Disambiguated ID Type / Status
Subject Pangasinan E340205 entity
Predicate hasMunicipality P847 FINISHED
Object Sual E562604 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: Sual | Statement: [Pangasinan, hasMunicipality, Sual]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sual
Context triple: [Pangasinan, hasMunicipality, Sual]
  • A. Sual chosen
    Sual is a coastal municipality in the province of Pangasinan, Philippines, known for hosting one of the country’s major coal-fired power plants along the Lingayen Gulf.
  • B. Qus
    Qus is a town in Upper Egypt situated along the Nile River within the modern Qena Governorate.
  • C. QUE
    QUE is the station code for Queen station, a public transit stop in Toronto's subway system.
  • D. QUE
    QUE is the standard abbreviation used for the Quebec Remparts, a major junior ice hockey team in the Quebec Major Junior Hockey League.
  • E. Q
    Q refers to Qualcomm Stadium, the former multi-purpose sports venue in San Diego that hosted NFL and MLB teams as well as major events.
  • 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_69d822d9c0408190b9a2b3643e58bb4d completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69de94e0f9048190a2d266cfa4f9dfb6 completed April 14, 2026, 7:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd6d9dba1081909154362b922a2417 completed May 8, 2026, 4:59 a.m.
Created at: April 10, 2026, 1:21 a.m.