Triple
T5370112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nantes tramway |
E108825
|
entity |
| Predicate | connectsWith |
P37
|
FINISHED |
| Object | Nantes railway station |
E108824
|
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: Nantes railway station | Statement: [Nantes tramway, connectsWith, Nantes railway station]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nantes railway station Context triple: [Nantes tramway, connectsWith, Nantes railway station]
-
A.
Gare de Nantes
chosen
Gare de Nantes is the main railway station serving the city of Nantes in western France, providing regional and high-speed train connections.
-
B.
Rennes railway station
Rennes railway station is the main rail hub of the city of Rennes in western France, serving high-speed TGV, regional, and local train services.
-
C.
Troyes station
Troyes station is the main railway station serving the city of Troyes in northeastern France, providing regional and intercity train connections.
-
D.
Gare de Tours
Gare de Tours is the main railway station serving the city of Tours in central France, acting as a regional and intercity transport hub.
-
E.
Bordeaux-Saint-Jean station
Bordeaux-Saint-Jean station is the main railway hub of Bordeaux in southwestern France, serving as a major high-speed and regional train interchange on the national rail 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_69bd440c77948190aad2a5f39b7b80f5 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd8688b7488190a57baedd52a11b1a |
completed | March 20, 2026, 5:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf29307cc481908fa4d8b52711bbd4 |
completed | March 21, 2026, 11:26 p.m. |
Created at: March 20, 2026, 2:02 p.m.