Triple
T24327201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benkelman, Nebraska |
E613132
|
entity |
| Predicate | partOfMicropolitanOrMetropolitanArea |
P59417
|
FINISHED |
| Object | non-metropolitan area |
—
|
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: non-metropolitan area | Statement: [Benkelman, Nebraska, partOfMicropolitanOrMetropolitanArea, non-metropolitan area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: partOfMicropolitanOrMetropolitanArea Context triple: [Benkelman, Nebraska, partOfMicropolitanOrMetropolitanArea, non-metropolitan area]
-
A.
isPartOfMicropolitanArea
chosen
Indicates that an entity belongs to or is included within a designated micropolitan area.
-
B.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
-
C.
hasMicropolitanArea
Indicates that an entity possesses or is associated with a designated micropolitan area, typically a smaller-scale urban region centered around a core city or town.
-
D.
formsMicropolitanAreaWith
Indicates that two or more nearby communities collectively constitute a micropolitan area as a single functional urban unit.
-
E.
representsMetropolitanArea
Indicates that one entity serves as or corresponds to the metropolitan area associated with 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_69e2d7db6d5c819091194918157a7c1f |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f292eebf7081908ef50ef331ff88aa |
completed | April 29, 2026, 11:23 p.m. |
| PD | Predicate disambiguation | batch_69f287ad30048190b3ad3613486f277f |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 1:54 a.m.