Triple
T19186082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Green Party of England and Wales |
E469704
|
entity |
| Predicate | wonFirstCommonsSeat |
P134776
|
FINISHED |
| Object | 2010 |
—
|
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 | Statement: [Green Party of England and Wales, wonFirstCommonsSeat, 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wonFirstCommonsSeat Context triple: [Green Party of England and Wales, wonFirstCommonsSeat, 2010]
-
A.
wonFor
Indicates that one entity received an award, prize, or recognition specifically on behalf of or representing another entity.
-
B.
ownedWinnerOf
Indicates that an entity owns or possesses the winner of a specified competition, contest, or event.
-
C.
winnerAssociated
Indicates that there is a relevant connection or affiliation between a winner and another entity in the context of a particular event or competition.
-
D.
wonPrimary
Indicates that a candidate secured victory in a primary election against their competitors.
-
E.
winnerRepresents
Indicates that the winner of a competition or contest serves as a representative for a particular group, organization, or 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_69d8dd0ad9088190a173b32657ae2e7a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f6202b3881908b34ec4921fb90ca |
completed | April 20, 2026, 9:47 a.m. |
| PD | Predicate disambiguation | batch_69e4b9bb158481909478ca2e06f3ba39 |
completed | April 19, 2026, 11:17 a.m. |
| PDg | Predicate description generation | batch_69e4bfe9ef7081908a74a57d1fc731ea |
completed | April 19, 2026, 11:43 a.m. |
Created at: April 10, 2026, 12:07 p.m.