Triple
T34092127
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Region (Census Region 3) |
E874323
|
entity |
| Predicate | containsLargeMetropolitanAreas |
P35166
|
FINISHED |
| Object | Dallas–Fort Worth |
—
|
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: Dallas–Fort Worth | Statement: [South Region (Census Region 3), containsLargeMetropolitanAreas, Dallas–Fort Worth]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsLargeMetropolitanAreas Context triple: [South Region (Census Region 3), containsLargeMetropolitanAreas, Dallas–Fort Worth]
-
A.
isOneOfLargestMetropolitanAreasIn
Indicates that an entity ranks among the largest metropolitan areas within a specified geographic region or jurisdiction.
-
B.
includesMajorMetropolitanArea
chosen
Indicates that one entity geographically contains or encompasses a major metropolitan area within its boundaries.
-
C.
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.
-
D.
hasMajorCityArea
Indicates that a place or region includes, is associated with, or is served by a major metropolitan city area.
-
E.
hasMostOfUrbanAreasOf
Indicates that one entity contains or encompasses the majority of the urban areas belonging to another entity.
- F. None of above.
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_69f349a735208190a1dbfb1c2a121059 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a005247dba08190acadf962bcefe4a0 |
completed | May 10, 2026, 9:39 a.m. |
| PD | Predicate disambiguation | batch_6a00519029848190a234358dfba45084 |
completed | May 10, 2026, 9:36 a.m. |
Created at: May 1, 2026, 1:52 a.m.