Triple

T2201343
Position Surface form Disambiguated ID Type / Status
Subject Eastern Colorado E50495 entity
Predicate contains P35 FINISHED
Object city of Lamar E53589 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: city of Lamar | Statement: [Eastern Colorado, contains, city of Lamar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: city of Lamar
Context triple: [Eastern Colorado, contains, city of Lamar]
  • A. City of Lamar chosen
    City of Lamar is a municipal government in Lamar, Colorado, responsible for providing local services, infrastructure, and governance to the community.
  • B. Lancaster, Texas
    Lancaster, Texas is a suburban city in Dallas County that forms part of the Dallas–Fort Worth metropolitan area.
  • C. Crowley, Texas
    Crowley, Texas is a small suburban city in the Dallas–Fort Worth metropolitan area known for its residential communities and family-oriented atmosphere.
  • D. Lamar City Park
    Lamar City Park is a public recreational park in Lamar, Missouri, offering outdoor green space and community amenities for local residents and visitors.
  • E. City of The Colony, Texas
    The City of The Colony, Texas, is a suburban community in the Dallas–Fort Worth metropolitan area known for its lakeside recreation, residential neighborhoods, and growing commercial development.
  • 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_69a88b044ab48190add007487680f009 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abbfa1b41c8190b0f7467d0dcdfbcd completed March 7, 2026, 6:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dbd583c8190bc7355bdf94d6588 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:46 p.m.