Triple
T4657144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Île de Nantes |
E102436
|
entity |
| Predicate | hasTransport |
P1298
|
FINISHED |
| Object | Nantes tramway line 3 |
E108825
|
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 tramway line 3 | Statement: [Île de Nantes, hasTransport, Nantes tramway line 3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nantes tramway line 3 Context triple: [Île de Nantes, hasTransport, Nantes tramway line 3]
-
A.
Nantes tramway
chosen
The Nantes tramway is a modern light rail network in Nantes, France, that serves as a key component of the city's public transportation system.
-
B.
Orléans tramway
The Orléans tramway is a modern light rail system serving the city of Orléans, France, providing efficient urban and suburban public transportation.
-
C.
Tramway de Tours
Tramway de Tours is the modern light rail system serving the city of Tours in central France, providing urban and suburban public transportation along dedicated tram lines.
-
D.
Rouen tramway
The Rouen tramway is a light rail and tram system serving the city of Rouen and its suburbs in Normandy, France.
-
E.
Rennes Metro
Rennes Metro is the rapid transit system serving the city of Rennes in France, providing urban rail transport across the metropolitan area.
- 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_69bd43d823288190952279faa0d1d066 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd631a855c81909773737fd238a14d |
completed | March 20, 2026, 3:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be0378825881908fe3214f60be579e |
completed | March 21, 2026, 2:33 a.m. |
Created at: March 20, 2026, 1:14 p.m.