Triple

T10522242
Position Surface form Disambiguated ID Type / Status
Subject Tulsa metropolitan area E248202 entity
Predicate includesCity P3207 FINISHED
Object Glenpool E741588 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: Glenpool | Statement: [Tulsa metropolitan area, includesCity, Glenpool]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenpool
Context triple: [Tulsa metropolitan area, includesCity, Glenpool]
  • A. Glenpool chosen
    Glenpool is a suburban city in northeastern Oklahoma, known as part of the Tulsa metropolitan area and historically associated with early oil discoveries in the region.
  • B. Cedar Bluff
    Cedar Bluff is a community in Knox County, Tennessee, known as a suburban commercial and residential area within the greater Knoxville region.
  • C. Menifee
    Menifee is a rapidly growing suburban city in Southern California known for its residential communities and proximity to major Inland Empire urban centers.
  • D. Skiatook
    Skiatook is a small town in northeastern Oklahoma known for its proximity to Skiatook Lake and its role as a suburban community in the Tulsa metropolitan area.
  • E. Cross Plains
    Cross Plains is a small village in south-central Wisconsin that forms part of the Madison metropolitan area.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509e0907481908807dd99980cba1f completed April 7, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69d933f2d9e48190a4c5d5d5bdc0d7d8 completed April 10, 2026, 5:31 p.m.
Created at: April 6, 2026, 12:29 p.m.