Triple
T8439459
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Péret |
E199312
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object | Rezé |
E597314
|
NE 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: Rezé | Statement: [Benjamin Péret, placeOfBirth, Rezé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rezé Context triple: [Benjamin Péret, placeOfBirth, Rezé]
-
A.
Rezé
chosen
Rezé is a suburban commune in western France located just south of Nantes, known for its historical ties to the Loire River and its role within the Nantes metropolitan area.
-
B.
Villetaneuse
Villetaneuse is a suburban commune in the northern outskirts of Paris, France, known for its residential character and the presence of the Université Paris 13 campus.
-
C.
Créteil
Créteil is a southeastern suburb of Paris and the administrative center of the Val-de-Marne department in northern France.
-
D.
Fontenay-aux-Roses
Fontenay-aux-Roses is a suburban commune in the southern outskirts of Paris, France, known for its residential character and historical ties to notable French artists and intellectuals.
-
E.
Rueil-Malmaison
Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe13708988190a534e38d8254c9bd |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a75d16888190aad10857effd152d |
completed | April 8, 2026, 7:07 p.m. |
Created at: March 30, 2026, 6:08 p.m.