Triple
T20158780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ilévia |
E491647
|
entity |
| Predicate | operates |
P24
|
FINISHED |
| Object | Lille tramway |
—
|
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: Lille tramway | Statement: [Ilévia, operates, Lille tramway]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lille tramway Context triple: [Ilévia, operates, Lille tramway]
-
A.
Lille tramway
chosen
The Lille tramway is a light rail system serving the Lille metropolitan area in northern France, complementing the city’s metro and bus networks.
-
B.
Lille Metro
The Lille Metro is a fully automated light metro system serving the city of Lille and its metropolitan area in northern France.
-
C.
Valenciennes tramway
The Valenciennes tramway is a modern light rail system serving the city of Valenciennes and its surrounding metropolitan area in northern France.
-
D.
Lille bus network
The Lille bus network is the urban public transportation system of Lille, France, providing extensive bus services that connect neighborhoods and suburbs and integrate with the city’s tram and metro lines.
-
E.
Strasbourg tramway
The Strasbourg tramway is a modern light rail transit system in Strasbourg, France, known for its extensive network, integration with urban renewal, and cross-border service into Germany.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667e27aa88190a326288b992ea274 |
completed | April 20, 2026, 5:52 p.m. |
Created at: April 11, 2026, 11:34 p.m.