Triple

T10906527
Position Surface form Disambiguated ID Type / Status
Subject Saint Martin's University E257584 entity
Predicate city P40 FINISHED
Object Lacey E45134 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: Lacey | Statement: [Saint Martin's University, city, Lacey]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lacey
Context triple: [Saint Martin's University, city, Lacey]
  • A. Lacey
    Lacey is a feminine given name most notably borne by American actress Lacey Chabert.
  • B. Lacey, Washington chosen
    Lacey, Washington is a suburban city in Thurston County near Olympia, known for its proximity to state government centers and its role as a regional administrative and commercial hub.
  • C. Isleton
    Isleton is a small historic city in California’s Sacramento–San Joaquin River Delta, known for its legacy as a former riverboat and agricultural hub with notable Chinese and Japanese American heritage.
  • D. Everett
    Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
  • E. Everett
    Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7706679b48190a1f29fc64fe8a334 completed April 9, 2026, 9:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69e155454890819087028a72ac2be8de completed April 16, 2026, 9:31 p.m.
Created at: April 8, 2026, 9:22 p.m.