Triple
T6951599
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nice-Ville railway station |
E160937
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Intercités services |
E39984
|
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: Intercités services | Statement: [Nice-Ville railway station, serves, Intercités services]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intercités services Context triple: [Nice-Ville railway station, serves, Intercités services]
-
A.
Intercités
chosen
Intercités is a network of French long-distance conventional trains operated by SNCF, connecting major cities and regions across the country.
-
B.
Francorail
Francorail was a French railway manufacturing consortium known for producing high-speed trainsets, including early models of the TGV.
-
C.
SNCF Connect
SNCF Connect is the official digital platform and app of the French national railway company, providing online ticket booking, travel planning, and real-time information for trains and other transport services.
-
D.
TGV services
TGV services are France’s high-speed train operations, providing fast intercity and international rail connections across the country and beyond.
-
E.
SNCF
SNCF is France’s national state-owned railway company, responsible for operating the country’s passenger and freight rail services and much of its rail infrastructure.
- 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_69c68850419081909fb426b8f5a304c7 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dab041748190851c5221b6b740e1 |
completed | March 27, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c769fd908c81908d92ff4cd79b76c0 |
completed | March 28, 2026, 5:41 a.m. |
Created at: March 27, 2026, 2:29 p.m.