Triple
T27071730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naturita, Colorado |
E685344
|
entity |
| Predicate | nearestIncorporatedTown |
P145151
|
FINISHED |
| Object | Nucla, Colorado |
—
|
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: Nucla, Colorado | Statement: [Naturita, Colorado, nearestIncorporatedTown, Nucla, Colorado]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestIncorporatedTown Context triple: [Naturita, Colorado, nearestIncorporatedTown, Nucla, Colorado]
-
A.
nearestTownDistance
Indicates the distance from a given location to the closest town.
-
B.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
C.
nearestTownCenter
Indicates that one location is the closest town center to another specified point or area.
-
D.
nearestSuburbOrTown
chosen
Indicates that one place is the geographically closest suburb or town to another specified location.
-
E.
hasNearestLargerSettlement
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
- 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_69ef14843b1481909d828b3d5a44550a |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6640168948190811bd5f933a87cf5 |
completed | May 2, 2026, 8:52 p.m. |
| PD | Predicate disambiguation | batch_69f6633451948190bcc0410602bb4914 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 27, 2026, 8:28 a.m.