Triple
T21828860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lempster, New Hampshire |
E538930
|
entity |
| Predicate | hasCommercialWindFarm |
P34328
|
FINISHED |
| Object | one of New Hampshire’s first commercial wind farms |
—
|
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: one of New Hampshire’s first commercial wind farms | Statement: [Lempster, New Hampshire, hasCommercialWindFarm, one of New Hampshire’s first commercial wind farms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCommercialWindFarm Context triple: [Lempster, New Hampshire, hasCommercialWindFarm, one of New Hampshire’s first commercial wind farms]
-
A.
hasWindFarm
chosen
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
Indicates that one entity is equipped with, contains, or includes one or more turbines in relation to another entity.
-
D.
hasWindmill
Indicates that one entity possesses, contains, or features a windmill as part of it or on its premises.
-
E.
windFarmType
Indicates the specific category or classification of a wind farm based on its characteristics or configuration.
- 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_69e0c475cda88190987d08f23caebdc1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f091344c848190b1675432a8c255f2 |
completed | April 28, 2026, 10:51 a.m. |
| PD | Predicate disambiguation | batch_69e6be815a108190be81d7c987d0c0d6 |
completed | April 21, 2026, 12:02 a.m. |
Created at: April 16, 2026, 6:54 p.m.