Triple
T8826790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Corail coaches |
E210034
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Corail Lunéa coaches |
E210033
|
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: Corail Lunéa coaches | Statement: [Corail coaches, hasVariant, Corail Lunéa coaches]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Corail Lunéa coaches Context triple: [Corail coaches, hasVariant, Corail Lunéa coaches]
-
A.
Corail
chosen
Corail was a long-distance French passenger train service known for its comfortable, air-conditioned coaches introduced by SNCF in the late 20th century.
-
B.
Calmy-Rey
Calmy-Rey is the surname of Micheline Calmy-Rey, a prominent Swiss politician and former President of the Swiss Confederation.
-
C.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
D.
Laure
Laure is a feminine given name, primarily used in French-speaking countries, that is a variant of the name Laura.
-
E.
Carron
Carron is a village in Falkirk, Scotland, historically known for its ironworks and industrial heritage.
- 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_69ca8365b28081909e48e45e95dfc405 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc6034e8dc819099116d772e87569a |
completed | April 1, 2026, midnight |
| NED1 | Entity disambiguation (via context triple) | batch_69cf895a766c81908f41e369afb05023 |
completed | April 3, 2026, 9:33 a.m. |
Created at: March 30, 2026, 6:46 p.m.