Triple
T34916989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agency, Iowa |
E1007027
|
entity |
| Predicate | isMicropolitanAreaComponent |
P59417
|
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: [Agency, Iowa, isMicropolitanAreaComponent, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isMicropolitanAreaComponent Context triple: [Agency, Iowa, isMicropolitanAreaComponent, true]
-
A.
isPartOfMicropolitanArea
chosen
Indicates that an entity belongs to or is included within a designated micropolitan area.
-
B.
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.
-
C.
hasMicropolitanStatus
Indicates that an entity possesses the official designation or classification of having micropolitan status.
-
D.
formsMicropolitanAreaWith
Indicates that two or more nearby communities collectively constitute a micropolitan area as a single functional urban unit.
-
E.
isSmallMetroArea
Indicates that a metropolitan area has a relatively small population size or geographic extent compared to typical metro areas.
- 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f782c98fa08190870b68de2c1ff26a |
completed | May 3, 2026, 5:15 p.m. |
| PD | Predicate disambiguation | batch_69f781020cc4819088c40cb8589504e4 |
completed | May 3, 2026, 5:08 p.m. |
Created at: May 3, 2026, 4 p.m.