Triple
T138629
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Valley Wells |
E2802
|
entity |
| Predicate | isLocatedAlong |
P2409
|
FINISHED |
| Object | regional travel routes in the Mojave Desert |
—
|
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: regional travel routes in the Mojave Desert | Statement: [Valley Wells, isLocatedAlong, regional travel routes in the Mojave Desert]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLocatedAlong Context triple: [Valley Wells, isLocatedAlong, regional travel routes in the Mojave Desert]
-
A.
locatedAlong
chosen
Indicates that one entity is situated adjacent to, or running beside, the length or course of another linear feature (such as a road, river, or railway).
-
B.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
C.
locatedAcrossRiverFrom
Indicates that one entity is situated on the opposite side of a river relative to another entity.
-
D.
locatedBetween
Indicates that one entity is positioned spatially between two other reference entities.
-
E.
railwayLine
Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
- 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_69a2521e35c08190b28e5c9f1e3c9b59 |
completed | Feb. 28, 2026, 2:25 a.m. |
| NER | Named-entity recognition | batch_69a257a800148190be119d1d075869b8 |
completed | Feb. 28, 2026, 2:49 a.m. |
| PD | Predicate disambiguation | batch_69a25652efdc8190b85b33735a9e6370 |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.