Triple
T23086071
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coinsins |
E575602
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Prangins |
—
|
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: Prangins | Statement: [Coinsins, hasNeighboringMunicipality, Prangins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Prangins Context triple: [Coinsins, hasNeighboringMunicipality, Prangins]
-
A.
Prangins
chosen
Prangins is a municipality in the canton of Vaud in western Switzerland, known for its historic village and the Château de Prangins, which houses part of the Swiss National Museum.
-
B.
Prangli
Prangli is a small inhabited island in the Gulf of Finland, off the northern coast of Estonia, known for its traditional fishing village and scenic natural landscapes.
-
C.
Wangerberg
Wangerberg is a small settlement in the mountainous municipality of Triesenberg in Liechtenstein.
-
D.
Bonheiden
Bonheiden is a municipality in the Belgian province of Antwerp, known as a residential community near the city of Mechelen.
-
E.
Crozant
Crozant is a picturesque rural commune in central France known for its dramatic river gorges, medieval castle ruins, and its role as an inspiration for many landscape painters.
- 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_69e245bf3e3c819086d3448720efc01b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18da573588190a8e0c859667e64a6 |
completed | April 29, 2026, 4:48 a.m. |
Created at: April 17, 2026, 3:57 p.m.