Triple
T17023945
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TGV services |
E413016
|
entity |
| Predicate | majorHub |
P2958
|
FINISHED |
| Object | Marseille Saint-Charles |
E323196
|
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: Marseille Saint-Charles | Statement: [TGV services, majorHub, Marseille Saint-Charles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marseille Saint-Charles Context triple: [TGV services, majorHub, Marseille Saint-Charles]
-
A.
Marseille-Saint-Charles station
chosen
Marseille-Saint-Charles station is the main railway terminus in Marseille, France, serving as a major national and regional transport hub.
-
B.
Montpellier Sud de France station
Montpellier Sud de France station is a modern high-speed railway station serving the city of Montpellier in southern France, primarily on the TGV network.
-
C.
Lyon-Perrache station
Lyon-Perrache station is one of Lyon’s main railway hubs, serving regional, national, and international train connections in southeastern France.
-
D.
Nîmes station
Nîmes station is a major railway hub in southern France that connects the city of Nîmes to regional and high-speed national rail networks.
-
E.
Vanves–Malakoff station
Vanves–Malakoff station is a suburban railway station in the southwestern Paris metropolitan area serving local commuter traffic on the Transilien network.
- 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_69d886cc4170819093deddc7b8b4b6a7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d5d2abbc81908943becf5f539fc6 |
completed | April 18, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012334c3b48190b125ab926450c45b |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.