Triple
T14315156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Entrance of Joshua Tree National Park |
E354935
|
entity |
| Predicate | distanceFromNearbyTown |
P110200
|
FINISHED |
| Object | approximately 5 miles south of Joshua Tree, California |
—
|
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: approximately 5 miles south of Joshua Tree, California | Statement: [West Entrance of Joshua Tree National Park, distanceFromNearbyTown, approximately 5 miles south of Joshua Tree, California]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromNearbyTown Context triple: [West Entrance of Joshua Tree National Park, distanceFromNearbyTown, approximately 5 miles south of Joshua Tree, California]
-
A.
nearestTownDistance
chosen
Indicates the distance from a given location to the closest town.
-
B.
hasNearbyTown
Indicates that one location has a town situated close to it in geographic proximity.
-
C.
distanceFromDowntown
Indicates the physical distance between a given location and the central downtown area.
-
D.
distanceToReadingTownCentre
Indicates the measured distance between a given location and the centre of Reading town.
-
E.
distanceToWokingTownCentre
Indicates the spatial distance between a given location and the center of Woking town.
- 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_69d8278ed42c8190b9f882dcce611347 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de85b49e5481909b9ffab2d922e284 |
completed | April 14, 2026, 6:21 p.m. |
| PD | Predicate disambiguation | batch_69de2a9515f4819081aabf251bca5878 |
completed | April 14, 2026, 11:52 a.m. |
Created at: April 10, 2026, 1:12 a.m.