Triple
T1977065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Cateau-Cambrésis |
E42938
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Saint-Quentin |
E214011
|
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: Saint-Quentin | Statement: [Le Cateau-Cambrésis, near, Saint-Quentin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saint-Quentin Context triple: [Le Cateau-Cambrésis, near, Saint-Quentin]
-
A.
Saint-Quentin
chosen
Saint-Quentin is a historic town in northern France known for its Gothic basilica, Art Deco architecture, and role as a regional administrative and commercial center.
-
B.
Arras
Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
-
C.
Charleville-Mézières
Charleville-Mézières is a historic city in northeastern France near the Belgian border, known for its classical architecture, international puppet theatre festival, and role as the former home of poet Arthur Rimbaud.
-
D.
Tournus
Tournus is a historic town in eastern France’s Burgundy region, known for its Romanesque abbey and riverside setting along the Saône.
-
E.
Cambrai
Cambrai is a historic city in northern France known for its medieval heritage, role in World War I, and traditional confectionery.
- 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_69a8871289048190b00b0d7744b7b2b1 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb3f9a87c8190816db3888787ad76 |
completed | March 7, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0ad2a3888190a93e54b53a071afc |
completed | March 8, 2026, 11:48 p.m. |
Created at: March 4, 2026, 7:36 p.m.