Triple

T15082154
Position Surface form Disambiguated ID Type / Status
Subject Mount Pagos E360173 entity
Predicate hasHistoricalName P2834 FINISHED
Object Pagos E339178 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: Pagos | Statement: [Mount Pagos, hasHistoricalName, Pagos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pagos
Context triple: [Mount Pagos, hasHistoricalName, Pagos]
  • A. Pagos chosen
    Pagos is the ancient name of Kadifekale, a historic hilltop fortress overlooking the city of İzmir in western Turkey.
  • B. 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.
  • C. 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.
  • D. Quepos
    Quepos is a coastal town in Costa Rica known as the gateway to Manuel Antonio National Park and a popular destination for sport fishing and beach tourism.
  • E. Pajo
    Pajo is a barangay (village-level administrative division) located in the municipality of Daanbantayan in Cebu, Philippines.
  • 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_69d85a035aa88190b52a139d3a1b7b6d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0027450a48190a84588b6aaf84ebf completed April 15, 2026, 9:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae15d6308190a62b4f66c550db04 completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:03 a.m.