Triple

T989156
Position Surface form Disambiguated ID Type / Status
Subject Tacoma, Washington E21347 entity
Predicate distanceTo P350 FINISHED
Object Seattle, Washington E1640 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: Seattle, Washington | Statement: [Tacoma, Washington, distanceTo, Seattle, Washington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seattle, Washington
Context triple: [Tacoma, Washington, distanceTo, Seattle, Washington]
  • A. Seattle
    Seattle is a major coastal city in the U.S. state of Washington, known for its tech industry, vibrant music and arts scene, and iconic landmarks like the Space Needle.
  • B. Seattle, Washington, United States chosen
    Seattle, Washington, United States is a major Pacific Northwest city known for its tech industry, vibrant cultural scene, and iconic landmarks like the Space Needle.
  • C. Tukwila
    Tukwila is a suburban city just south of Seattle, Washington, known as a regional transportation and retail hub.
  • D. Royal City, Washington
    Royal City, Washington is a small agricultural town in central Washington State known for its orchards and farming-based economy.
  • E. Tacoma, Washington
    Tacoma, Washington is a mid-sized port city in the Pacific Northwest known for its waterfront, industrial history, and vibrant arts and museum scene.
  • 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_69a493c383dc8190a03257f22d4b4183 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4aa16f081909dcc7a7ce3fb1b64 completed March 1, 2026, 9:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae65078b908190a75665a2ee025db6 completed March 9, 2026, 6:13 a.m.
Created at: March 1, 2026, 7:41 p.m.