Triple
T2579682
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Broken Arrow |
E57058
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Tulsa |
E185942
|
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: Tulsa | Statement: [Broken Arrow, locatedNear, Tulsa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tulsa Context triple: [Broken Arrow, locatedNear, Tulsa]
-
A.
Tulsa
chosen
Tulsa is a major city in northeastern Oklahoma known for its historic oil industry, distinctive Art Deco architecture, and vibrant arts and cultural scene.
-
B.
Tulsa metropolitan area
The Tulsa metropolitan area is a regional urban and economic hub in northeastern Oklahoma centered on the city of Tulsa and its surrounding communities.
-
C.
Lawton
Lawton is a mid-sized city in southwestern Oklahoma known as a regional economic and cultural center near Fort Sill and the Wichita Mountains.
-
D.
McAlester
McAlester is a regional hub city in southeastern Oklahoma known for its role as a commercial center and for housing the Oklahoma State Penitentiary.
-
E.
Ardmore, Oklahoma
Ardmore, Oklahoma is a small city in southern Oklahoma known as a regional commercial and transportation hub between Oklahoma City and Dallas, near Lake Texoma.
- 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_69ab4a4dca6481908c301f8e317396e7 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd3a9fd3c8190a521931e40cd801c |
completed | March 7, 2026, 7:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afe88781ec8190a13784501208c5a5 |
completed | March 10, 2026, 9:46 a.m. |
Created at: March 6, 2026, 9:49 p.m.