Triple
T36666813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiira Power Station |
E905286
|
entity |
| Predicate | hasGenerationUnits |
P109303
|
FINISHED |
| Object | Unit 11 |
—
|
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: Unit 11 | Statement: [Kiira Power Station, hasGenerationUnits, Unit 11]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGenerationUnits Context triple: [Kiira Power Station, hasGenerationUnits, Unit 11]
-
A.
generatingUnitCount
Indicates the number of generating units associated with or involved in a given entity or context.
-
B.
generationUnits
chosen
Indicates a relationship where specific units or components are responsible for generating or producing something within a system or process.
-
C.
includesPowerGeneration
Indicates that an entity encompasses or involves facilities, systems, or activities related to generating electrical or other forms of power.
-
D.
mainGenerationCompanies
Indicates that the subject entity is one of the primary or principal companies responsible for generating (typically producing or supplying) a particular resource, product, or service.
-
E.
hasGens
Indicates that an entity possesses or is associated with one or more generators (gens), typically as components, resources, or defining elements.
- 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_69f76e6f10008190aea41746aa1b186e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fdee770af48190aca2670db50f8b49 |
completed | May 8, 2026, 2:08 p.m. |
| PD | Predicate disambiguation | batch_69fdecec98a08190a357d816dc2a6dbe |
completed | May 8, 2026, 2:02 p.m. |
Created at: May 3, 2026, 4:12 p.m.