Triple

T7806040
Position Surface form Disambiguated ID Type / Status
Subject SEA E180553 entity
Predicate servesCity P82 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: [SEA, servesCity, Tacoma]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tacoma
Context triple: [SEA, servesCity, Tacoma]
  • A. Tacoma
    Tacoma is a small suburb on the Central Coast of New South Wales, Australia, situated along the Wyong River near Tuggerah Lake.
  • B. 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.
  • C. Bellingham
    Bellingham is a residential district in southeast London known for its 20th-century housing estates and local community amenities.
  • D. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • E. 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.
  • 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_69ca827e50cc8190a92a733577184938 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69caf63838b88190a085756db9ca25c4 completed March 30, 2026, 10:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69cb5a3bd2e481908e3d3906755b5b7a completed March 31, 2026, 5:23 a.m.
Created at: March 30, 2026, 4:35 p.m.