Triple
T17094486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central China power grid |
E414808
|
entity |
| Predicate | integratesGenerationType |
P115058
|
FINISHED |
| Object | hydropower |
—
|
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: hydropower | Statement: [Central China power grid, integratesGenerationType, hydropower]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: integratesGenerationType Context triple: [Central China power grid, integratesGenerationType, hydropower]
-
A.
hasTypeOfGeneration
chosen
Indicates that one entity is characterized by or associated with a particular kind or method of generation.
-
B.
integratorType
Indicates the specific kind or category of integrator associated with or used in relation to an entity.
-
C.
generationOf
Indicates that one entity is the origin, creator, or producer of another entity.
-
D.
importedGeneration
Indicates that electrical energy was generated outside the local system or region and brought in for use through imports.
-
E.
targetGenerationDepicted
Indicates that one entity visually represents or portrays the generation (age cohort) associated with 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_69d886cfc8e88190b05ba466edd35591 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3dbfc9158819081689d3d594a1908 |
completed | April 18, 2026, 7:31 p.m. |
| PD | Predicate disambiguation | batch_69e35d67b14481909fcdbdeaa5c34785 |
completed | April 18, 2026, 10:31 a.m. |
Created at: April 10, 2026, 5:35 a.m.