Triple
T22856596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tourcoing campus |
E566499
|
entity |
| Predicate | isInCity |
P12399
|
FINISHED |
| Object | 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: Tourcoing | Statement: [Tourcoing campus, isInCity, Tourcoing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tourcoing Context triple: [Tourcoing campus, isInCity, Tourcoing]
-
A.
Tourcoing
chosen
Tourcoing is a city in northern France near the Belgian border, known as part of the Lille metropolitan area and for its historical textile industry.
-
B.
Villeneuve d’Ascq
Villeneuve d’Ascq is a suburban city in northern France near Lille, known for its universities, technology parks, and modernist urban planning.
-
C.
Lillebonne
Lillebonne is a historic town in northern France’s Normandy region, known for its Roman archaeological remains and medieval heritage.
-
D.
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.
-
E.
Vandœuvre-lès-Nancy
Vandœuvre-lès-Nancy is a large suburban commune in northeastern France, forming part of the urban area of Nancy and known for its residential neighborhoods and university facilities.
- 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_69e2458750b481908a8e4cf4609cc6cf |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17ebd7d48819085f350f2ce4144a0 |
completed | April 29, 2026, 3:45 a.m. |
Created at: April 17, 2026, 3:37 p.m.