Triple
T17868875
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pacheco State Park |
E446776
|
entity |
| Predicate | hasWindEnergyInfrastructure |
P32979
|
FINISHED |
| Object | wind turbines on ridgelines |
—
|
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: wind turbines on ridgelines | Statement: [Pacheco State Park, hasWindEnergyInfrastructure, wind turbines on ridgelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasWindEnergyInfrastructure Context triple: [Pacheco State Park, hasWindEnergyInfrastructure, wind turbines on ridgelines]
-
A.
hasWindFarm
Indicates that one entity possesses, hosts, or contains a wind farm as part of its assets, infrastructure, or territory.
-
B.
hasOffshoreWindFarm
Indicates that an entity owns, operates, or is otherwise associated with a wind farm located in offshore (marine) areas.
-
C.
hasTurbines
chosen
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another entity.
-
D.
windEnergyDevelopment
Indicates the development, construction, or expansion of facilities and infrastructure for generating energy from wind.
-
E.
hasRenewableEnergyPotential
Indicates that an entity possesses conditions or characteristics that make it suitable for generating energy from renewable sources.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa18df881908a8ff40b7de19268 |
completed | April 19, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69e3d8e6d2e88190ad9ef9f8a99f13e6 |
completed | April 18, 2026, 7:17 p.m. |
Created at: April 10, 2026, 10:18 a.m.