Triple
T31281690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pickering A |
E797686
|
entity |
| Predicate | isOlderSectionOf |
P171539
|
FINISHED |
| Object | Pickering Nuclear Generating Station |
—
|
NE NERFINISHED |
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: Pickering Nuclear Generating Station | Statement: [Pickering A, isOlderSectionOf, Pickering Nuclear Generating Station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isOlderSectionOf Context triple: [Pickering A, isOlderSectionOf, Pickering Nuclear Generating Station]
-
A.
followsSectionOf
Indicates that one section directly comes after or succeeds another section in an ordered structure.
-
B.
isOpeningSectionOf
Indicates that one content segment functions as the initial or introductory section of another, larger work or structure.
-
C.
isNamedSectionOf
Indicates that one entity is a specifically named section or subdivision that forms part of another entity.
-
D.
isSectionBetween
Indicates that one section lies between two other specified sections within an ordered structure or sequence.
-
E.
isOnSectionOf
Indicates that one entity is located on, or positioned along, a specific segment or subsection of another entity.
- F. None of above. chosen
Provenance (4 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_69f224def9088190a37034eab3daf57f |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69f80b62c8190bf2af2be0d3a7df8 |
completed | May 3, 2026, 1:06 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
| PDg | Predicate description generation | batch_69f69edae2448190925ce701c8792c52 |
completed | May 3, 2026, 1:03 a.m. |
Created at: April 29, 2026, 9:13 p.m.