Triple
T12432211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2007 Syrian presidential election |
E297057
|
entity |
| Predicate | termStartForWinner |
P12287
|
FINISHED |
| Object | 2007 |
—
|
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: 2007 | Statement: [2007 Syrian presidential election, termStartForWinner, 2007]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termStartForWinner Context triple: [2007 Syrian presidential election, termStartForWinner, 2007]
-
A.
termStartOfWinner
chosen
Indicates the starting date or point in time of the winner’s term in a given role or position.
-
B.
winnerManager
Indicates that one entity is the manager or supervisor of another entity who is the winner in a given context or competition.
-
C.
firstWinner
Indicates that the subject is the entity who achieved first place or victory in the referenced event or competition.
-
D.
positionOfWinner
Indicates the relationship that identifies which entity holds the winning position or rank in a competition or contest.
-
E.
firstRunningWinner
Indicates that the subject is the first entity to win among those participating in a running event or race.
- 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_69d6ada0640c81908c061d7fb3d47786 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94df948308190ace333230a4a3b38 |
completed | April 10, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69d94d391c548190996a8c698357f273 |
completed | April 10, 2026, 7:19 p.m. |
Created at: April 8, 2026, 9:55 p.m.