Triple
T17840323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV |
E445505
|
entity |
| Predicate | route |
P5619
|
FINISHED |
| Object | Paris–Marseille |
—
|
NE NERFINISHED |
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: Paris–Marseille | Statement: [TGV, route, Paris–Marseille]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paris–Marseille Context triple: [TGV, route, Paris–Marseille]
-
A.
Paris–Marseille
chosen
Paris–Marseille is a major French intercity rail corridor linking the capital Paris with the Mediterranean port city of Marseille.
-
B.
Paris–Lyon
Paris–Lyon is the pioneering high-speed rail corridor in France that became the flagship route for TGV operations between the capital and the major southeastern city.
-
C.
Paris–Hendaye
Paris–Hendaye is a major French high-speed rail corridor linking the capital Paris with the southwestern town of Hendaye on the Spanish border.
-
D.
Paris–Nantes
Paris–Nantes is a major high-speed rail corridor in France linking the capital Paris with the western city of Nantes.
-
E.
Bordeaux–Toulouse–Marseille
Bordeaux–Toulouse–Marseille is a major French intercity rail corridor linking the Atlantic city of Bordeaux with Toulouse and the Mediterranean port of Marseille.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e48d2b2ea08190926ec0cf01285833 |
completed | April 19, 2026, 8:07 a.m. |
Created at: April 10, 2026, 10:16 a.m.