Triple

T1932918
Position Surface form Disambiguated ID Type / Status
Subject Puget Sound E40985 entity
Predicate adjacentTo P224 FINISHED
Object Tacoma E21347 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: Tacoma | Statement: [Puget Sound, adjacentTo, Tacoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacoma
Context triple: [Puget Sound, adjacentTo, Tacoma]
  • A. Tacoma, Washington chosen
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • B. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • C. SeaTac
    SeaTac is a city in Washington State located between Seattle and Tacoma, best known for housing Seattle–Tacoma International Airport and being served by regional light rail.
  • D. Renton
    Renton is a suburban city in Washington State located just southeast of Seattle, known for its Boeing facilities and position at the south end of Lake Washington.
  • E. Bremerton
    Bremerton is a waterfront city in Washington State known for its naval shipyard and ferry connection to Seattle across Puget Sound.
  • 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_69a8864711648190b07bed24ed76258e completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb299f3c48190a5021d320ded4405 completed March 7, 2026, 5:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69b28d6c6db881908a45f53bf78fe22a completed March 12, 2026, 9:54 a.m.
Created at: March 4, 2026, 7:35 p.m.