Triple
T25131822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gérard Larcher |
E629541
|
entity |
| Predicate | termAsMayorOfRambouillet |
P157956
|
FINISHED |
| Object | 1983–2004 |
—
|
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: 1983–2004 | Statement: [Gérard Larcher, termAsMayorOfRambouillet, 1983–2004]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsMayorOfRambouillet Context triple: [Gérard Larcher, termAsMayorOfRambouillet, 1983–2004]
-
A.
termAsMayorOfBordeauxEnd
Indicates the ending time or conclusion of an individual's term serving as mayor of Bordeaux.
-
B.
termEndAsMayorOfFortDeFrance
Indicates the time at which an individual's tenure serving as mayor of Fort-de-France concludes.
-
C.
endTimeAsMayorOfParis
Indicates the date and time at which an individual’s tenure as Mayor of Paris comes to an end.
-
D.
termEndAsMayor
Indicates that an entity’s period of service in the role of mayor has concluded at a specified time or event.
-
E.
officeStartTime (Mayor of 7th arrondissement)
Indicates the time at which the Mayor of the 7th arrondissement officially begins their term in office.
- 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_69e2ff338250819096ff6c8892804389 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f465f9abe48190863be7824dcbd48c |
completed | May 1, 2026, 8:36 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
| PDg | Predicate description generation | batch_69f45300bd488190bb1d4160f5534ef6 |
completed | May 1, 2026, 7:15 a.m. |
Created at: April 18, 2026, 6:28 a.m.