Triple
T7764494
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma City metropolitan area |
E176109
|
entity |
| Predicate | locatedInTornadoAlley |
P78217
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Oklahoma City metropolitan area, locatedInTornadoAlley, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInTornadoAlley Context triple: [Oklahoma City metropolitan area, locatedInTornadoAlley, true]
-
A.
isInMidwest
Indicates that a location or entity is situated within the Midwestern region of the United States.
-
B.
isInNorthCentralPartOf
Indicates that one entity is located within the north-central region of another entity.
-
C.
KansasRegion
Indicates that an entity is located within, associated with, or pertains to the geographic region of Kansas.
-
D.
isInSouthernTier
Indicates that one entity is located within the geographic region known as the Southern Tier relative to a larger area or jurisdiction.
-
E.
locatedInAgriculturalRegion
Indicates that an entity is situated within a region primarily characterized by agricultural activities or land use.
- F. None of above. chosen
Provenance (4 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704076ba08190bcde971f7e4448c6 |
completed | March 27, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69c7016f4ce881909c2e9f610255187b |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c702a78edc819090c3448d33c8c381 |
completed | March 27, 2026, 10:20 p.m. |
Created at: March 27, 2026, 4:09 p.m.