Triple
T33187668
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ENR |
E849516
|
entity |
| Predicate | underlyingBusinessArea |
P66997
|
FINISHED |
| Object | conventional power generation |
—
|
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: conventional power generation | Statement: [ENR, underlyingBusinessArea, conventional power generation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: underlyingBusinessArea Context triple: [ENR, underlyingBusinessArea, conventional power generation]
-
A.
primaryBusinessArea
Indicates the main field, sector, or domain in which an entity primarily conducts its business activities.
-
B.
isPartOfBusinessArea
Indicates that one entity belongs to, is included within, or falls under the scope of a particular business area.
-
C.
businessAreaExpanded
Indicates that the scope or coverage of a business area has been increased or broadened beyond its previous boundaries.
-
D.
hasKeyBusinessArea
chosen
Indicates that an entity is associated with or operates within a particular primary business area or domain.
-
E.
underliesArea
Indicates that one entity forms the foundational basis or underlying support for a particular area or domain of activity, knowledge, or influence.
- 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_69f3495e0f108190a6a7006f79f9c2c3 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd05ba6b2c81909c62b46237d10365 |
completed | May 7, 2026, 9:35 p.m. |
| PD | Predicate disambiguation | batch_69fd03039e48819082b6e12c5453885a |
completed | May 7, 2026, 9:24 p.m. |
Created at: May 1, 2026, 1:29 a.m.