Triple
T32867877
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1969 French presidential election |
E840707
|
entity |
| Predicate | incumbentPresidentStatus |
P175850
|
FINISHED |
| Object | resigned |
—
|
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: resigned | Statement: [1969 French presidential election, incumbentPresidentStatus, resigned]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: incumbentPresidentStatus Context triple: [1969 French presidential election, incumbentPresidentStatus, resigned]
-
A.
incumbentPresidentNumber
Indicates the ordinal position or sequence number of the person currently serving as president.
-
B.
hasIncumbentPresidentCandidate
Indicates that a political entity (such as a party, election, or race) has a current office-holding president running as a candidate in that contest.
-
C.
incumbent
Indicates that an entity currently holds a particular position, office, or role at the present time.
-
D.
presidentElect
Indicates that one entity has been elected to be president of another entity (such as a country or organization) but has not yet assumed the office.
-
E.
hasPresident
Indicates that an entity holds the position or role of president for another 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_69f34942465c819099b3fb47f9044f58 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d26f27dc8190ae426a3e1573933e |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d749e7f081909c8196898c4191ad |
completed | May 3, 2026, 5:04 a.m. |
Created at: May 1, 2026, 1:17 a.m.