Triple
T1969702
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | San Gorgonio Pass region |
E42769
|
entity |
| Predicate | energyInfrastructure |
P19374
|
FINISHED |
| Object | high-voltage transmission lines |
—
|
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: high-voltage transmission lines | Statement: [San Gorgonio Pass region, energyInfrastructure, high-voltage transmission lines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: energyInfrastructure Context triple: [San Gorgonio Pass region, energyInfrastructure, high-voltage transmission lines]
-
A.
powerplant
Indicates that an entity functions as a facility or installation where energy sources are converted into usable power, typically electricity.
-
B.
energyType
Indicates the kind or category of energy associated with an entity or process.
-
C.
isPartOfInfrastructure
chosen
Indicates that something belongs to, is included within, or functions as a component of a larger infrastructure system.
-
D.
significantInfrastructure
Indicates that an entity constitutes an important or critical piece of infrastructure within a system, network, or region.
-
E.
powerplantRole
Indicates that one entity serves in a specific functional or operational role relative to a power plant.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3d17274819084cd352a3d2a8151 |
completed | March 7, 2026, 5:12 a.m. |
| PD | Predicate disambiguation | batch_69abaff7d4a48190ab0d51aefb1c4e31 |
completed | March 7, 2026, 4:56 a.m. |
Created at: March 4, 2026, 7:36 p.m.