Triple
T13663173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aimé Césaire |
E327048
|
entity |
| Predicate | termEndAsMayorOfFortDeFrance |
P111054
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Aimé Césaire, termEndAsMayorOfFortDeFrance, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: termEndAsMayorOfFortDeFrance Context triple: [Aimé Césaire, termEndAsMayorOfFortDeFrance, 2001]
-
A.
termAsMayorOfBordeauxEnd
Indicates the ending time or conclusion of an individual's term serving as mayor of Bordeaux.
-
B.
endTimeAsMayorOfParis
Indicates the date and time at which an individual’s tenure as Mayor of Paris comes to an end.
-
C.
termEndAsMayorOfLosAngeles
Indicates that a person’s tenure serving as the mayor of Los Angeles has concluded.
-
D.
endTimeAsMayorOfLyon
Indicates the date and time at which an individual’s term serving as mayor of Lyon comes to an end.
-
E.
hasMayorTerm
Indicates that a specified individual holds or has held the office of mayor for a particular jurisdiction during a defined term.
- 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_69d8076d8270819092afc2f0e9c359a8 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc622a07c81909ef7fb55e719dd9a |
completed | April 12, 2026, 4:19 p.m. |
| PD | Predicate disambiguation | batch_69dbbe8a027081908d8f884b89707a5e |
completed | April 12, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69dbc59ca1a88190a6abd3bd00554c93 |
completed | April 12, 2026, 4:17 p.m. |
Created at: April 9, 2026, 9:52 p.m.