Triple
T4110540
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bishopric of Cambrai |
E88561
|
entity |
| Predicate | hasJurisdictionOver |
P808
|
FINISHED |
| Object | City of Cambrai |
E110945
|
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: City of Cambrai | Statement: [Bishopric of Cambrai, hasJurisdictionOver, City of Cambrai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: City of Cambrai Context triple: [Bishopric of Cambrai, hasJurisdictionOver, City of Cambrai]
-
A.
Cambrai
chosen
Cambrai is a historic city in northern France known for its medieval heritage, role in World War I, and traditional confectionery.
-
B.
Thérouanne
Thérouanne is a historic town in northern France that once served as an important medieval religious center and episcopal seat.
-
C.
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.
-
D.
Count of Rouen
The Count of Rouen was the early medieval noble title held by Rollo as ruler of the region around Rouen, a precursor to his later role as the first Duke of Normandy.
-
E.
Bayeux
Bayeux is a municipality in the Brazilian state of Paraíba, located in the northeastern region of the country and forming part of the João Pessoa metropolitan area.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af01dbe9808190aefdc89e426cc4de |
completed | March 9, 2026, 5:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b56b88228c8190ae971b54148e38a9 |
completed | March 14, 2026, 2:07 p.m. |
Created at: March 9, 2026, 3:41 p.m.