Triple
T17010852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Université Paris IX Dauphine |
E412693
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | Dauphine |
E833028
|
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: Dauphine | Statement: [Université Paris IX Dauphine, shortName, Dauphine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dauphine Context triple: [Université Paris IX Dauphine, shortName, Dauphine]
-
A.
Dauphine
chosen
Dauphine is the title historically given to the wife of the Dauphin, the heir apparent to the French throne.
-
B.
La Salle-Prunet
La Salle-Prunet was a former commune in southern France’s Lozère department that was incorporated into the new commune of Florac Trois Rivières.
-
C.
Place Dauphine
Place Dauphine is a historic, triangular public square in central Paris, known for its quiet charm and classical architecture near the western end of the Île de la Cité.
-
D.
Auteuil
Auteuil is a residential neighborhood in western Paris known for its village-like atmosphere, Art Nouveau architecture, and historic literary and artistic associations.
-
E.
Juilly
Juilly is a commune in north-central France known for its historic Collège de Juilly, one of the country’s oldest educational institutions.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d47bcb508190a799f0bad6b70245 |
completed | April 18, 2026, 6:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc241ec88190a3e868ab88b26f09 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:33 a.m.