Triple
T30656877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Skylight Mountain |
E780408
|
entity |
| Predicate | isRemoteRelativeToRoads |
P98871
|
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: [Skylight Mountain, isRemoteRelativeToRoads, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isRemoteRelativeToRoads Context triple: [Skylight Mountain, isRemoteRelativeToRoads, true]
-
A.
isRemoteByRoad
chosen
Indicates that one location is difficult or time-consuming to reach from another when traveling by road.
-
B.
distanceFromRoads
Indicates the measured or estimated spatial distance between a location and the nearest road.
-
C.
hasRoadProximity
Indicates that one entity is located near or adjacent to a road in terms of spatial proximity.
-
D.
hasLocalRoad
Indicates that there exists a local road connection or association between the related entities.
-
E.
roadDistanceRelation
Indicates a relationship specifying the distance between two locations as measured along a road or road network.
- 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_69f224a5d2b481908a6853cd0138e2d7 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68ade49d48190a80182cf054bd154 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.