Triple

T11860547
Position Surface form Disambiguated ID Type / Status
Subject Hub District E282146 entity
Predicate containsSettlement P847 FINISHED
Object Winder E71784 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: Winder | Statement: [Hub District, containsSettlement, Winder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Winder
Context triple: [Hub District, containsSettlement, Winder]
  • A. Winder
    Winder is a surname of English origin borne by various notable individuals, including military figures and public officials.
  • B. Winder, Georgia chosen
    Winder, Georgia is a small city in northeastern Georgia that serves as the county seat of Barrow County and is part of the Atlanta metropolitan area.
  • C. Fowley
    Fowley is a surname variant of Foley, typically of Irish origin.
  • D. Menifee
    Menifee is a rapidly growing suburban city in Southern California known for its residential communities and proximity to major Inland Empire urban centers.
  • E. Burlada
    Burlada is a municipality in northern Spain, located in the autonomous community of Navarre and forming part of the metropolitan area of Pamplona.
  • 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_69d6ab287ba48190a5178779fd19b9b7 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a69a099c8190a674db64c50eca5a completed April 10, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69f281745ca88190968e1f674d0e483c completed April 29, 2026, 10:08 p.m.
Created at: April 8, 2026, 9:43 p.m.