Triple
T14626366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beauvais |
E343358
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Beauvaisien |
E343358
|
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: Beauvaisien | Statement: [Beauvais, demonym, Beauvaisien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauvaisien Context triple: [Beauvais, demonym, Beauvaisien]
-
A.
Brétigny
Brétigny is a commune in northern France historically notable as the site where the Treaty of Brétigny was signed during the Hundred Years' War.
-
B.
Tournai
Tournai is a historic city in western Belgium, known for its medieval architecture, including a UNESCO-listed cathedral and belfry, and its strategic importance in European conflicts.
-
C.
Count of Poitiers
Count of Poitiers was a noble title in medieval France historically associated with the rulers of the County of Poitou, including figures such as Richard I of England.
-
D.
Beauvais
chosen
Beauvais is a historic city in northern France known for its impressive Gothic cathedral and role as the capital of the Oise department.
-
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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb46a4a9081908472b0a542028a7f |
completed | April 14, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda92a6b9c8190bdb220444cfbe34a |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.