Triple
T18360050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cours-la-Reine |
E439888
|
entity |
| Predicate | hasFrenchName |
P744
|
FINISHED |
| Object | Cours-la-Reine |
—
|
NE NERFINISHED |
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: Cours-la-Reine | Statement: [Cours-la-Reine, hasFrenchName, Cours-la-Reine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cours-la-Reine Context triple: [Cours-la-Reine, hasFrenchName, Cours-la-Reine]
-
A.
Cours-la-Reine
chosen
Cours-la-Reine is a historic tree-lined promenade and park along the Seine River in Paris, known as one of the city’s earliest public gardens.
-
B.
Casseneuil
Casseneuil is a small commune in southwestern France, located in the Lot-et-Garonne department in the Nouvelle-Aquitaine region.
-
C.
Viry-Châtillon
Viry-Châtillon is a suburban commune in the southern outskirts of Paris, France, known for its residential character and location along the Seine River in the Essonne department.
-
D.
Acquigny
Acquigny is a commune in northern France known for its historic château, picturesque setting, and location at the confluence of the Eure and Iton rivers.
-
E.
Clessé
Clessé is a wine-producing village in the Mâconnais region of Burgundy, France, known for its quality white wines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e516db045c8190b20c209225a53b9a |
completed | April 19, 2026, 5:54 p.m. |
Created at: April 10, 2026, 10:37 a.m.