Triple
T11784430
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belley |
E280234
|
entity |
| Predicate | demonym |
P191
|
FINISHED |
| Object | Belleyssien |
E280234
|
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: Belleyssien | Statement: [Belley, demonym, Belleyssien]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Belleyssien Context triple: [Belley, demonym, Belleyssien]
-
A.
Belley
chosen
Belley is a historic town in eastern France that serves as one of the administrative centers of the Ain department in the Auvergne-Rhône-Alpes region.
-
B.
Bellabeg
Bellabeg is a small village in Strathdon, Aberdeenshire, Scotland, known for its role as the starting point of the annual Lonach Highland Gathering and March.
-
C.
Bihorel
Bihorel is a suburban commune in northern France, located near Rouen and integrated into its public transport network.
-
D.
Belasyse
Belasyse is an English noble family name historically associated with aristocratic titles such as the Earls Fauconberg.
-
E.
Bessas
Bessas was a prominent 6th-century Byzantine general under Emperor Justinian I, noted for his role in the Gothic and Lazic Wars.
- 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_69d6ab258b808190b1735835c841e3a4 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8a585795c8190aa8a5edf0d99b47f |
completed | April 10, 2026, 7:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f090d861f481909b920197a3d60e28 |
completed | April 28, 2026, 10:50 a.m. |
Created at: April 8, 2026, 9:42 p.m.