Triple
T24492399
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manchester Gorton (UK Parliament constituency) |
E617676
|
entity |
| Predicate | wasLongStandingSeat |
P55641
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Manchester Gorton (UK Parliament constituency), wasLongStandingSeat, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasLongStandingSeat Context triple: [Manchester Gorton (UK Parliament constituency), wasLongStandingSeat, true]
-
A.
permanentSeat
Indicates that an entity holds a seat or position that is intended to be ongoing and not subject to regular expiration, rotation, or reappointment.
-
B.
hasPermanentSeats
Indicates that certain entities hold ongoing, non-rotating positions or places within a defined structure or body.
-
C.
hasFormerSeat
Indicates that an entity previously held a particular seat, position, or place but no longer does so.
-
D.
isLongStanding
chosen
Indicates that a relationship, condition, or state has existed for a considerable or extended period of time.
-
E.
isPermanentChair
Indicates that an entity holds a chair or leadership position on a permanent, ongoing basis rather than temporarily or rotationally.
- 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_69e2d7f4e6bc8190aec540ae3b9ed7f2 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2a9d912e88190bc39c05a9d7f407e |
completed | April 30, 2026, 1:01 a.m. |
| PD | Predicate disambiguation | batch_69f2a6a4580481908fddc385f5262f95 |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:22 a.m.