Triple
T1886941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Intercités |
E39984
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Intercités de nuit |
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 de nuit | Statement: [Intercités, hasPart, Intercités de nuit]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Intercités de nuit Context triple: [Intercités, hasPart, Intercités de nuit]
-
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.
SNCF Voyageurs
SNCF Voyageurs is the passenger rail operating division of France’s national railway company, responsible for running high-speed, regional, and commuter train services.
-
C.
Ouigo
Ouigo is a low-cost high-speed train service operated by France's SNCF, offering budget TGV travel with simplified onboard services.
-
D.
Orient Express
The Orient Express is a legendary long-distance luxury passenger train service that historically connected Western and Eastern Europe and became famous through its appearances in literature and film.
-
E.
Léman Express
Léman Express is a cross-border regional rail network linking Geneva with surrounding areas in Switzerland and France as part of the Léman metropolitan transport system.
- 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_69a88633e4fc8190b7eb40463e048ec5 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb121a3cc81909c60ac65627142d1 |
completed | March 7, 2026, 5:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adeae81e4c8190bf480215a8a33630 |
completed | March 8, 2026, 9:32 p.m. |
Created at: March 4, 2026, 7:34 p.m.