Triple
T17802250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Franche-Comté |
E444458
|
entity |
| Predicate | hasCampus |
P116
|
FINISHED |
| Object | Montbéliard |
—
|
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: Montbéliard | Statement: [University of Franche-Comté, hasCampus, Montbéliard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montbéliard Context triple: [University of Franche-Comté, hasCampus, Montbéliard]
-
A.
Montbéliard
chosen
Montbéliard is a historic town in eastern France, near the Swiss border, known for its former status as a Württemberg principality and its distinctive blend of French and German cultural influences.
-
B.
Plombières
Plombières is a municipality in the province of Liège in eastern Belgium, near the German and Dutch borders.
-
C.
Cugny
Cugny is a locality within the municipality of Bernex in the canton of Geneva, Switzerland.
-
D.
Ferrière
Ferrière is a French-language surname of Swiss origin borne by various notable individuals, including social worker and humanitarian Suzanne Ferrière.
-
E.
Chassieu
Chassieu is a commune in the Metropolis of Lyon in eastern France, known for its residential areas and proximity to the Lyon urban center.
- 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_69d8b9efe370819095cd219b143ae727 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e488005a288190b7a2cffa590d2557 |
completed | April 19, 2026, 7:45 a.m. |
Created at: April 10, 2026, 10:13 a.m.