Triple
T4607675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | House of Representatives of Yemen |
E100476
|
entity |
| Predicate | lastGeneralElectionBeforeMajorConflict |
P3713
|
FINISHED |
| Object | 2003 |
—
|
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: 2003 | Statement: [House of Representatives of Yemen, lastGeneralElectionBeforeMajorConflict, 2003]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastGeneralElectionBeforeMajorConflict Context triple: [House of Representatives of Yemen, lastGeneralElectionBeforeMajorConflict, 2003]
-
A.
lastElection
chosen
Indicates the most recent electoral event associated with an entity, such as the latest election in which it participated or was affected.
-
B.
wasEarlyElection
Indicates that an election was held earlier than its originally scheduled or expected date.
-
C.
wasContestedBetween
Indicates that an event, position, or resource was the subject of competition or dispute involving two or more opposing parties.
-
D.
electionHeldIn
Indicates that an election event took place within a specific geographic or political location.
-
E.
houseElectionsHeld
Indicates that elections have been conducted to choose members of a legislative house or lower chamber.
- 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_69bd43cce1e08190a07d53af6a9b6c24 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd599debdc81909d11d0e871c666bb |
completed | March 20, 2026, 2:28 p.m. |
| PD | Predicate disambiguation | batch_69bd522e2d5c8190937d0b5574f78f99 |
completed | March 20, 2026, 1:57 p.m. |
Created at: March 20, 2026, 1:12 p.m.