Triple
T11327890
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dreux station |
E268268
|
entity |
| Predicate | connectedTo |
P37
|
FINISHED |
| Object | Plaisir - Grignon |
E601934
|
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: Plaisir - Grignon | Statement: [Dreux station, connectedTo, Plaisir - Grignon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plaisir - Grignon Context triple: [Dreux station, connectedTo, Plaisir - Grignon]
-
A.
Les Planards
Les Planards is a ski and recreation area in Chamonix, France, known for its beginner-friendly slopes and proximity to major alpine attractions.
-
B.
Plaisir
chosen
Plaisir is a suburban commune in the Yvelines department of the Île-de-France region in north-central France, known for its residential areas and proximity to Paris.
-
C.
P. Nozières
P. Nozières is a prominent French theoretical physicist renowned for his influential work in condensed matter physics, particularly on Fermi liquids and many-body theory.
-
D.
Rosières
Rosières is a village and district within the municipality of Rixensart in Walloon Brabant, Belgium.
-
E.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e52608b7348190875597513ca1a995 |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.