Triple
T34636141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Township of Melancthon |
E889430
|
entity |
| Predicate | hasPowerGeneration |
P65239
|
FINISHED |
| Object | wind turbines |
—
|
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 | Statement: [Township of Melancthon, hasPowerGeneration, wind turbines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPowerGeneration Context triple: [Township of Melancthon, hasPowerGeneration, wind turbines]
-
A.
includesPowerGeneration
chosen
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
-
B.
energyGenerationMechanism
Indicates the method or process by which energy is produced or generated by an entity.
-
C.
hasPowerCapacity
Indicates that an entity possesses a specified amount or limit of power it can produce, handle, or store.
-
D.
hasEnergeticProduction
Indicates that an entity produces something with a high level of energy, intensity, or dynamism.
-
E.
isMajorSourceOfElectricityFor
Indicates that one entity provides the primary or dominant share of electrical power used by another 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff27b125948190aced0fe0189fd39a |
completed | May 9, 2026, 12:25 p.m. |
| PD | Predicate disambiguation | batch_69ff26c30a0481909ef6a54ded851e42 |
completed | May 9, 2026, 12:21 p.m. |
Created at: May 1, 2026, 2:04 a.m.