Triple
T2279700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michel de Montaigne |
E51252
|
entity |
| Predicate | termAsMayorOfBordeauxStart |
P17454
|
FINISHED |
| Object | 1581 |
—
|
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: 1581 | Statement: [Michel de Montaigne, termAsMayorOfBordeauxStart, 1581]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termAsMayorOfBordeauxStart Context triple: [Michel de Montaigne, termAsMayorOfBordeauxStart, 1581]
-
A.
mayoralTermStart
chosen
Indicates the date or point in time when an individual's tenure as mayor officially begins.
-
B.
endTimeAsMayorOfParis
Indicates the date and time at which an individual’s tenure as Mayor of Paris comes to an end.
-
C.
timeInOfficeBeginsIn
Indicates the point in time or date when an entity’s term, tenure, or period in office starts.
-
D.
termStartAsGovernor
Indicates the date or point in time when an individual begins their term serving in the role of governor.
-
E.
numberOfTermsAsMayor
Indicates the number of distinct terms an individual has served in the role of mayor.
- 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_69a88b08e4308190bdac9aebcca1c91a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc2194150819083156e4dcd45a423 |
completed | March 7, 2026, 6:13 a.m. |
| PD | Predicate disambiguation | batch_69abbdb9aa3c819088d0316c5269a1c2 |
completed | March 7, 2026, 5:55 a.m. |
Created at: March 4, 2026, 7:48 p.m.