Triple
T14647613
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marignier |
E343893
|
entity |
| Predicate | hasDemonym |
P191
|
FINISHED |
| Object | Marignieraine |
E343893
|
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: Marignieraine | Statement: [Marignier, hasDemonym, Marignieraine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marignieraine Context triple: [Marignier, hasDemonym, Marignieraine]
-
A.
Marignier
chosen
Marignier is a commune in the Haute-Savoie department of southeastern France, situated in the French Alps.
-
B.
Boissonnas
Boissonnas is a Swiss family name notably associated with the renowned photographer Frédéric Boissonnas and his influential work in early 20th-century landscape and travel photography.
-
C.
Montegnée
Montegnée is a district of the municipality of Saint-Nicolas in the province of Liège, Belgium.
-
D.
Ermontoise
Ermontoise is the French demonym referring to a female inhabitant or native of the town of Ermont in France.
-
E.
Mouriès
Mouriès is a village in southern France’s Provence region, known for its olive oil production and location near the Alpilles hills.
- 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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ebe8048190a2935d00c9cfd8be |
completed | April 14, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdd5d7915c8190ae690810110c0b60 |
completed | May 8, 2026, 12:23 p.m. |
Created at: April 10, 2026, 1:26 a.m.