Triple

T16087193
Position Surface form Disambiguated ID Type / Status
Subject Gene Bartow E390263 entity
Predicate familyName P18 FINISHED
Object Bartow E667836 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: Bartow | Statement: [Gene Bartow, familyName, Bartow]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bartow
Context triple: [Gene Bartow, familyName, Bartow]
  • A. Bartow chosen
    Bartow is a small city in central Florida that serves as the county seat of Polk County and a regional hub for government and commerce.
  • B. Eustis
    Eustis is a surname of English origin borne by various notable individuals, including military figures and public officials in American history.
  • C. Pasco
    Pasco is a station on Buenos Aires’ historic Line A subway, serving the Balvanera neighborhood in Argentina’s capital.
  • D. Pasco
    Pasco is a city in southeastern Washington State that forms part of the Tri-Cities region along with Kennewick and Richland.
  • E. Hainesville
    Hainesville is a small unincorporated community located within Berkeley County in the U.S. state of West Virginia.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1844f95508190a06dad0ccc9b6191 completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff29bc7408190be09bec1619b599c completed May 10, 2026, 2:51 a.m.
Created at: April 10, 2026, 4:59 a.m.