Triple
T9290920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Le Cateau-Cambrésis |
E223512
|
entity |
| Predicate | locatedInHistoricalRegion |
P915
|
FINISHED |
| Object | Cambrésis |
E223513
|
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: Cambrésis | Statement: [canton of Le Cateau-Cambrésis, locatedInHistoricalRegion, Cambrésis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cambrésis Context triple: [canton of Le Cateau-Cambrésis, locatedInHistoricalRegion, Cambrésis]
-
A.
Cambrésis
chosen
Cambrésis is a historic region in northern France centered around the city of Cambrai, known for its medieval bishopric and strategic importance in European conflicts.
-
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.
Ligny-en-Cambrésis
Ligny-en-Cambrésis is a small commune in the Nord department of northern France, situated in the historical region of Cambrésis.
-
D.
Boulonnais
Boulonnais is a regional variety of the Picard language traditionally spoken around the Boulogne-sur-Mer area in northern France.
-
E.
Berlencourt
Berlencourt is a small commune in northern France, located within the Nord department in the Hauts-de-France region.
- 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_69ca8422ddf881908a3f8f876c9f53aa |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd0865a7108190b807afd259980db2 |
completed | April 1, 2026, 11:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3865ef081909f5f258cac44ae8b |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:35 p.m.