Triple

T11502466
Position Surface form Disambiguated ID Type / Status
Subject Durant City Council E272695 entity
Predicate jurisdiction P82 FINISHED
Object City of Durant E844873 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 Durant | Statement: [Durant City Council, jurisdiction, City of Durant]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Durant
Context triple: [Durant City Council, jurisdiction, City of Durant]
  • A. City of Durant chosen
    The City of Durant is a municipal government in Oklahoma that oversees local services, infrastructure, and public facilities for the community of Durant.
  • B. Hoop City
    Hoop City is a nickname for Springfield, Massachusetts, highlighting its rich basketball history and status as the birthplace of the sport.
  • C. River City
    River City is a common nickname and place name in the United States, often referring to cities situated along major rivers and popularized in American culture and media.
  • 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. 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.
  • 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_69d6aae2c3748190bed2ea50dfb160dc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d85de55cbc8190be71c2d03dc044f2 completed April 10, 2026, 2:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69e604bc1d3c81908497f1d19dcc2167 completed April 20, 2026, 10:49 a.m.
Created at: April 8, 2026, 9:36 p.m.