Triple
T9144110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Desert Hot Springs wind farms |
E219403
|
entity |
| Predicate | hasAccessRoads |
P55348
|
FINISHED |
| Object | service roads for turbine maintenance |
—
|
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: service roads for turbine maintenance | Statement: [Desert Hot Springs wind farms, hasAccessRoads, service roads for turbine maintenance]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAccessRoads Context triple: [Desert Hot Springs wind farms, hasAccessRoads, service roads for turbine maintenance]
-
A.
hasAccessRoadType
chosen
Indicates that an entity is connected to or served by a road of a specified access type (e.g., public, private, restricted).
-
B.
hasRoadPass
Indicates that an entity possesses a valid authorization or permit required to use a specific road or road network.
-
C.
isRoadAccessible
Indicates that a road can be safely and legally used or traversed under the current conditions.
-
D.
hasRoadway
Indicates that one location or area is connected to another by a road or roadway infrastructure.
-
E.
hasLimitedRoadAccess
Indicates that an entity can only be reached by a small number of roads, restricted routes, or otherwise constrained vehicular access.
- 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_69ca83e121dc81909912bd66953081c5 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cca91548248190ae0b63edebf3d674 |
completed | April 1, 2026, 5:11 a.m. |
| PD | Predicate disambiguation | batch_69cc6603ce8c8190bf6e8d6754bdec54 |
completed | April 1, 2026, 12:25 a.m. |
Created at: March 30, 2026, 7:19 p.m.