Triple
T20101054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Line 2 (Lille Metro) |
E496538
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Mons-en-Barœul |
—
|
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: Mons-en-Barœul | Statement: [Line 2 (Lille Metro), servesCity, Mons-en-Barœul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mons-en-Barœul Context triple: [Line 2 (Lille Metro), servesCity, Mons-en-Barœul]
-
A.
Mons-en-Barœul
chosen
Mons-en-Barœul is a suburban commune in northern France that forms part of the Lille metropolitan area.
-
B.
Mons-en-Pévèle
Mons-en-Pévèle is a renowned cobbled climb in northern France that serves as one of the most challenging and decisive sectors in the Paris–Roubaix cycling race.
-
C.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
-
D.
Bourmont
Bourmont is a historic hilltop town in northeastern France known for its medieval architecture and panoramic views over the surrounding Haute-Marne countryside.
-
E.
Rocourt
Rocourt is a district of Liège in present-day Belgium, historically notable as the site of the 1746 Battle of Rocoux during the War of the Austrian Succession.
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6666ff4008190ae1eec907c89bd3b |
completed | April 20, 2026, 5:46 p.m. |
Created at: April 11, 2026, 11:26 p.m.