Triple
T5353882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bayswater Power Station |
E102641
|
entity |
| Predicate | planningFor |
P59246
|
FINISHED |
| Object | progressive emissions reduction and transition measures |
—
|
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: progressive emissions reduction and transition measures | Statement: [Bayswater Power Station, planningFor, progressive emissions reduction and transition measures]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: planningFor Context triple: [Bayswater Power Station, planningFor, progressive emissions reduction and transition measures]
-
A.
plannedWith
Indicates that an entity created or arranged a plan in collaboration or coordination with another entity.
-
B.
planner
Indicates that an entity is responsible for organizing, scheduling, or coordinating activities, tasks, or resources.
-
C.
planningModelFor
Indicates that one entity serves as a planning model used to guide, simulate, or structure the planning activities related to another entity.
-
D.
plansMeetingWith
Indicates that one entity arranges or intends to organize a meeting involving another entity.
-
E.
planningResponse
chosen
Indicates that an agent formulates, selects, or communicates a course of action or plan in response to a given situation, goal, or request.
- 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_69bd43d8f7248190b64c140734b5c9a8 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd86149774819084049a8785e3f2e0 |
completed | March 20, 2026, 5:38 p.m. |
| PD | Predicate disambiguation | batch_69bd845c6f108190832a8d14b356368a |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:01 p.m.