Triple

T2990004
Position Surface form Disambiguated ID Type / Status
Subject U.S. Route 69 E80725 entity
Predicate passesThroughCity P416 FINISHED
Object Fort Scott, Kansas E179000 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: Fort Scott, Kansas | Statement: [U.S. Route 69, passesThroughCity, Fort Scott, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fort Scott, Kansas
Context triple: [U.S. Route 69, passesThroughCity, Fort Scott, Kansas]
  • A. Fort Scott, Kansas chosen
    Fort Scott, Kansas is a small historic city in southeastern Kansas known for its 19th-century frontier fort and role in Civil War-era conflicts.
  • B. Dodge City, Kansas
    Dodge City, Kansas is a historic frontier town in southwestern Kansas known for its Old West heritage, cattle trade history, and role as a major stop along the Santa Fe Trail.
  • C. Lawrence, Kansas
    Lawrence, Kansas is a vibrant college town in northeastern Kansas known for the University of Kansas, its historic downtown, and a strong arts and music scene.
  • D. Shawnee, Kansas
    Shawnee, Kansas is a suburban city in Johnson County that forms part of the greater Kansas City metropolitan area.
  • E. Springfield, Kansas
    Springfield, Kansas is a small rural community in the U.S. state of Kansas, notable here as the birthplace of Oliver Brown of the landmark Brown v. Board of Education case.
  • 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_69ad8b16c3488190b47b6aa7a59a335b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99dcdb00819092ca5f10396408e0 completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eee1433c8190bdee291c12feeceb completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 2:59 p.m.