Triple
T20158879
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lille tramway |
E491649
|
entity |
| Predicate | primaryCorridor |
P3034
|
FINISHED |
| Object | Lille–Tourcoing |
—
|
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–Tourcoing | Statement: [Lille tramway, primaryCorridor, Lille–Tourcoing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lille–Tourcoing Context triple: [Lille tramway, primaryCorridor, Lille–Tourcoing]
-
A.
Paris–Lille
Paris–Lille is a major high-speed rail corridor in northern France connecting the capital Paris with the city of Lille.
-
B.
Mouscron–Tourcoing area
chosen
The Mouscron–Tourcoing area is a binational urban region spanning the border between Belgium and France, centered on the closely linked cities of Mouscron and Tourcoing.
-
C.
Lille–Lyon
Lille–Lyon is a high-speed rail connection in France linking the northern city of Lille with Lyon, a major hub in the southeast.
-
D.
Oissel
Oissel is a commune in the Seine-Maritime department of the Normandy region in northern France, situated near the city of Rouen.
-
E.
Valenciennes
Valenciennes is a historic industrial city in northern France near the Belgian border, known for its former coal and steel industries and its rich artistic and architectural heritage.
- 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.