Triple
T3850815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United Kingdom general election, 1970 |
E85289
|
entity |
| Predicate | wasEarlyElection |
P51933
|
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: [United Kingdom general election, 1970, wasEarlyElection, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wasEarlyElection Context triple: [United Kingdom general election, 1970, wasEarlyElection, true]
-
A.
wasCloseElection
Indicates that an election was decided by a very small margin between candidates or options.
-
B.
usedForEarlyElection
Indicates that something serves as a means or mechanism to trigger or conduct an election earlier than originally scheduled.
-
C.
firstElectionDate
Indicates the date on which an entity (such as a person or office) participated in or held its first election.
-
D.
firstFederalElection
Indicates the relationship in which an entity participates in or is associated with the first federal election of a given political system or jurisdiction.
-
E.
lastElection
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
- 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_69aed936de1c81908f91bed80f70abb2 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeebcf67788190975105131baabc4b |
completed | March 9, 2026, 3:48 p.m. |
| PD | Predicate disambiguation | batch_69aee750377c8190af70c79768c0edd8 |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee8d9b328819080158be59e5bcc97 |
completed | March 9, 2026, 3:35 p.m. |
Created at: March 9, 2026, 3:19 p.m.