Triple

T3516618
Position Surface form Disambiguated ID Type / Status
Subject Tafuna E74322 entity
Predicate partOf P40 FINISHED
Object Pago Pago urban area E313262 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: Pago Pago urban area | Statement: [Tafuna, partOf, Pago Pago urban area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pago Pago urban area
Context triple: [Tafuna, partOf, Pago Pago urban area]
  • A. Pago Pago urban area chosen
    The Pago Pago urban area is the principal metropolitan region and commercial hub surrounding the harbor of Pago Pago in American Samoa.
  • B. Pagos
    Pagos is the ancient name of Kadifekale, a historic hilltop fortress overlooking the city of İzmir in western Turkey.
  • C. Pago Pago Harbor
    Pago Pago Harbor is a deep, naturally sheltered harbor on the island of Tutuila in American Samoa, known as one of the best natural harbors in the South Pacific.
  • D. Pago Pago
    Pago Pago is the main urban center and harbor town on Tutuila Island that serves as the political and economic hub of American Samoa in the South Pacific.
  • E. Papudo
    Papudo is a small coastal town and popular beach resort in central Chile known for its scenic bay and relaxed seaside atmosphere.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc31c0688190a890621a901f5f5f completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b38bc4e9988190921d193e84e53bf1 completed March 13, 2026, 4 a.m.
Created at: March 8, 2026, 3:19 p.m.