Triple
T24699327
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Borah Peak Trailhead |
E611686
|
entity |
| Predicate | nearestMajorTowns |
P157001
|
FINISHED |
| Object | Mackay, Idaho |
—
|
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: Mackay, Idaho | Statement: [Borah Peak Trailhead, nearestMajorTowns, Mackay, Idaho]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorTowns Context triple: [Borah Peak Trailhead, nearestMajorTowns, Mackay, Idaho]
-
A.
nearestSuburbOrTown
Indicates that one place is the geographically closest suburb or town to another specified location.
-
B.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
C.
nearestCityTo
Indicates that one city is the closest in distance to a given location or entity compared to all other cities.
-
D.
nearestMajorTownOnNorthSide
Indicates that one entity is the closest significant town located to the north of another entity.
-
E.
nearestTownDistance
Indicates the distance from a given location to the closest town.
- F. None of above. chosen
Provenance (4 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_69e2c4d76d148190b58ad612467149a5 |
completed | April 17, 2026, 11:40 p.m. |
| NER | Named-entity recognition | batch_69f410fe3b848190ae296a29f742ee30 |
completed | May 1, 2026, 2:33 a.m. |
| PD | Predicate disambiguation | batch_69f40ee8ada8819089a7016b50308ff0 |
completed | May 1, 2026, 2:24 a.m. |
| PDg | Predicate description generation | batch_69f410fc18808190b4e47d5a71d3a126 |
completed | May 1, 2026, 2:33 a.m. |
Created at: April 18, 2026, 3:22 a.m.