Triple

T10510136
Position Surface form Disambiguated ID Type / Status
Subject Fox Island E247889 entity
Predicate nearestCity P350 FINISHED
Object Gig Harbor E364602 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: Gig Harbor | Statement: [Fox Island, nearestCity, Gig Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gig Harbor
Context triple: [Fox Island, nearestCity, Gig Harbor]
  • A. Gig Harbor chosen
    Gig Harbor is a picturesque waterfront city in western Washington known for its maritime heritage, marinas, and views of Mount Rainier.
  • B. Port of Olympia
    The Port of Olympia is a public port authority and maritime facility in Washington State that supports regional trade, shipping, and economic development.
  • C. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • D. Anacortes
    Anacortes is a coastal city in northwestern Washington State known as a gateway to the San Juan Islands and a hub for boating and outdoor recreation.
  • E. Port Orchard
    Port Orchard is a small waterfront city in Washington State known as the administrative and commercial hub of Kitsap County.
  • 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_69d381c4aa948190942e1d803143fb0e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509b542088190868531f84deaf9e4 completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a05ffdc8190a69b39c807a06042 completed April 10, 2026, 10:30 p.m.
Created at: April 6, 2026, 12:27 p.m.