Triple

T459199
Position Surface form Disambiguated ID Type / Status
Subject Pueblo County, Colorado E7299 entity
Predicate contains P35 FINISHED
Object City of Pueblo E54832 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 Pueblo | Statement: [Pueblo County, Colorado, contains, City of Pueblo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Pueblo
Context triple: [Pueblo County, Colorado, contains, City of Pueblo]
  • A. City of Pueblo chosen
    The City of Pueblo is a home-rule municipality in southern Colorado that serves as a regional hub for industry, culture, and transportation along the Arkansas River.
  • B. River City
    River City is a popular nickname for Wuhan, a major central Chinese metropolis known for its location at the confluence of the Yangtze and Han rivers.
  • C. River City
    River City is a popular nickname for Richmond, Virginia, highlighting the city's location along the James River and its historic riverfront character.
  • D. River City
    River City is a popular nickname for Sacramento, California, highlighting the city’s close connection to the nearby American and Sacramento Rivers.
  • E. San Carlos
    San Carlos is a city in San Mateo County, California, located on the San Francisco Peninsula between Belmont and Redwood City.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2efa4a6208190a8243a0e14f84f52 completed Feb. 28, 2026, 1:37 p.m.
NED1 Entity disambiguation (via context triple) batch_69a44f583ea081908d92fe5b5dc4d3c0 completed March 1, 2026, 2:38 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.