Triple

T10761778
Position Surface form Disambiguated ID Type / Status
Subject Borger E253844 entity
Predicate alternateName P39 FINISHED
Object City of Borger E253844 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 Borger | Statement: [Borger, alternateName, City of Borger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: City of Borger
Context triple: [Borger, alternateName, City of Borger]
  • A. Borger chosen
    Borger is a small industrial city in the Texas Panhandle known historically for its oil and gas production.
  • B. The Burgue
    The Burgue is a sprawling, neo-Victorian city-state in the fantasy series "Carnival Row," marked by industrial grime, political tension, and fraught coexistence between humans and mythological immigrant creatures.
  • C. Spanishburg
    Spanishburg is a small unincorporated community located in Mercer County, West Virginia, in the United States.
  • D. Bergville
    Bergville is a small town in KwaZulu-Natal, South Africa, serving as a gateway to the northern Drakensberg mountain region.
  • E. City of Von Ormy
    The City of Von Ormy is a small municipality in south-central Texas known for its location near San Antonio and its experiments with limited government and low-tax policies.
  • 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_69d6aa5f54f4819082d0bbcb6f8797e6 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d731a230ac8190920439076aaeb91e completed April 9, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69de2351db9c8190983ac834ea069fb4 completed April 14, 2026, 11:21 a.m.
Created at: April 8, 2026, 9:16 p.m.