Triple
T23855493
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Goodman |
E592295
|
entity |
| Predicate | hasGivenUpSeat |
P45932
|
FINISHED |
| Object | 2010 general election |
—
|
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: 2010 general election | Statement: [Paul Goodman, hasGivenUpSeat, 2010 general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenUpSeat Context triple: [Paul Goodman, hasGivenUpSeat, 2010 general election]
-
A.
hasSeatStatus
Indicates the current condition or availability state of a seat in a given context.
-
B.
seatVacatedBy
chosen
Indicates that a particular seat has been freed or relinquished as a result of an action performed by a specific entity.
-
C.
hasSeat
Indicates that one entity possesses, provides, or includes a seat for another entity.
-
D.
seatGrantedBy
Indicates that a position, seat, or place (e.g., in a body or venue) is conferred or allocated to someone or something by a specific granting authority or entity.
-
E.
hasPrimarySeat
Indicates that one entity is designated as the main or principal seat, location, or position 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_69e25d221d908190b9b502ad31e66a3f |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1c98a60b081908dbdc359f51e67fa |
completed | April 29, 2026, 9:04 a.m. |
| PD | Predicate disambiguation | batch_69f1614612b481908c45d99e588882f9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:12 p.m.