Triple
T9225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Council Bluffs, Iowa |
E184
|
entity |
| Predicate | regionalRole |
P268
|
FINISHED |
| Object | suburban and economic partner of Omaha |
—
|
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: suburban and economic partner of Omaha | Statement: [Council Bluffs, Iowa, regionalRole, suburban and economic partner of Omaha]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: regionalRole Context triple: [Council Bluffs, Iowa, regionalRole, suburban and economic partner of Omaha]
-
A.
hasRegion
Indicates that an entity includes, contains, or is associated with a specific geographic or administrative region as part of its scope or structure.
-
B.
sourceRegion
Indicates the geographic or spatial region from which something originates or is derived.
-
C.
role
chosen
Indicates the function, position, or responsibility that one entity holds in relation to another within a given context.
-
D.
areaServed
Indicates the geographic region or jurisdiction within which a service, organization, or activity is provided or applicable.
-
E.
partOfMetropolitanArea
Indicates that one place is included within and belongs to the larger metropolitan area of another place.
- 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_69a23bb612708190b09f25385e4b63d1 |
completed | Feb. 28, 2026, 12:49 a.m. |
| NER | Named-entity recognition | batch_69a240b249788190af8dbf7e80e9c91b |
completed | Feb. 28, 2026, 1:11 a.m. |
| PD | Predicate disambiguation | batch_69a23fe52ec48190a4d24101c91434ed |
completed | Feb. 28, 2026, 1:07 a.m. |
Created at: Feb. 28, 2026, 12:54 a.m.