Triple
T33895436
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phillips County, Colorado |
E868895
|
entity |
| Predicate | hasNoMajorUrbanCenter |
P117226
|
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: [Phillips County, Colorado, hasNoMajorUrbanCenter, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoMajorUrbanCenter Context triple: [Phillips County, Colorado, hasNoMajorUrbanCenter, true]
-
A.
hasNoUrbanSettlement
Indicates that the referenced area or region does not contain any urban settlements such as towns or cities.
-
B.
hasNoMajorCultCenters
Indicates that the associated entity lacks any significant or widely recognized primary places of worship or veneration.
-
C.
hasNoMunicipalGovernment
Indicates that the entity lacks its own municipal governing body or local city/town government.
-
D.
isLessUrbanizedThan
Indicates that one place has a lower degree of urban development or urban characteristics compared to another place.
-
E.
hasNoIncorporatedCities
chosen
Indicates that a geographic or administrative area contains no incorporated cities within its boundaries.
- 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_69f34996761c8190864e42f7c9cf215b |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_6a02206665508190ae2324d253ccf377 |
completed | May 11, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_6a021fdc6e54819082847bedd97a680b |
completed | May 11, 2026, 6:28 p.m. |
Created at: May 1, 2026, 1:48 a.m.