Triple
T30686281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oklahoma City–Fort Worth |
E781193
|
entity |
| Predicate | connectsToMetropolitanAreaInState |
P196542
|
FINISHED |
| Object | Texas |
—
|
NE NERFINISHED |
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: Texas | Statement: [Oklahoma City–Fort Worth, connectsToMetropolitanAreaInState, Texas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: connectsToMetropolitanAreaInState Context triple: [Oklahoma City–Fort Worth, connectsToMetropolitanAreaInState, Texas]
-
A.
isWithinMetroArea
Indicates that one location lies inside the geographic boundaries of a specified metropolitan area.
-
B.
includesMajorMetropolitanArea
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
-
C.
operatesInMetropolitanArea
Indicates that an entity conducts its activities or provides its services within a specified metropolitan area.
-
D.
isMetropolitanArea
Indicates that a given area functions as a major urban center and its surrounding region, typically characterized by high population density and integrated economic and social activities.
-
E.
locatedNearMetropolitanArea
Indicates that one entity is situated in close geographic proximity to a metropolitan (urban) area.
- 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_69f224a92f54819095499b4d32bd5134 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: April 29, 2026, 8:33 p.m.