Triple
T2642649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2005 United Kingdom general election |
E62906
|
entity |
| Predicate | typeOfContest |
P7504
|
FINISHED |
| Object | 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: general election | Statement: [2005 United Kingdom general election, typeOfContest, general election]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfContest Context triple: [2005 United Kingdom general election, typeOfContest, general election]
-
A.
typeOfCompetition
Indicates the specific kind or category of competition in which an entity participates or is involved.
-
B.
competitionOf
Indicates a relationship where one entity is the competitive event, contest, or rivalry involving another entity.
-
C.
competitionElement
Indicates that one entity is a component, phase, or sub-event within a larger competitive event or contest.
-
D.
typeOfEvent
chosen
Indicates that one entity is classified as a specific kind or category of event.
-
E.
competitionFrom
Indicates that one entity is experiencing competitive pressure or rivalry originating from 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_69ab4c3f2dcc819082df80f5e032f690 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abd8ff34988190ba9d69ce9d77c71d |
completed | March 7, 2026, 7:51 a.m. |
| PD | Predicate disambiguation | batch_69abd814298c8190952f05aed43f6bb8 |
completed | March 7, 2026, 7:47 a.m. |
Created at: March 6, 2026, 9:53 p.m.