Triple
T16264117
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ségur station |
E394829
|
entity |
| Predicate | hasAccess |
P273
|
FINISHED |
| Object | Place Ségur |
E1204195
|
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: Place Ségur | Statement: [Ségur station, hasAccess, Place Ségur]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Place Ségur Context triple: [Ségur station, hasAccess, Place Ségur]
-
A.
Place Ségur
chosen
Place Ségur is a public square in Paris, France, located in the 7th arrondissement near several government and administrative buildings.
-
B.
Serques
Serques is a small commune in the Pas-de-Calais department in northern France, situated within the administrative area of Saint-Omer.
-
C.
Bourg-de-Péage
Bourg-de-Péage is a commune in southeastern France’s Drôme department, known for its location near the city of Romans-sur-Isère and its role within the Valence-Romans urban area.
-
D.
Place Boieldieu
Place Boieldieu is a small Parisian square in the 2nd arrondissement best known for hosting the historic Opéra-Comique theatre.
-
E.
Olliergues
Olliergues is a small commune in central France’s Puy-de-Dôme department, known for its rural setting in the Auvergne region.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c672248190a4261be4696d52c5 |
completed | April 17, 2026, 2:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a001f8eac988190bdcba6778fbffd64 |
completed | May 10, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:04 a.m.