Triple
T21291778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clermont-en-Beauvaisis |
E524809
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Beauvaisis |
—
|
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: Beauvaisis | Statement: [Clermont-en-Beauvaisis, historicalRegion, Beauvaisis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beauvaisis Context triple: [Clermont-en-Beauvaisis, historicalRegion, Beauvaisis]
-
A.
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.
-
B.
Vendômois
Vendômois is the French demonym referring to inhabitants or natives of the town of Vendôme in central France.
-
C.
Bruailles
Bruailles is a small commune in the Saône-et-Loire department of eastern France, situated within the Bourgogne-Franche-Comté region.
-
D.
Jumièges
Jumièges is a commune in northern France best known for the ruins of its historic Benedictine abbey, Jumièges Abbey, a major example of Norman Romanesque architecture.
-
E.
Bailleulois
Bailleulois is the French demonym referring to inhabitants of the commune of Bailleul-en-Vimeu in northern France.
- 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_69e0b5171f6c8190a5d57201ede73811 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e736da28648190ae3f63c6ba1f6d6f |
completed | April 21, 2026, 8:35 a.m. |
Created at: April 16, 2026, 4:04 p.m.