Triple
T21360730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Courgenay |
E526768
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Vendlincourt |
—
|
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: Vendlincourt | Statement: [Courgenay, hasNeighboringMunicipality, Vendlincourt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vendlincourt Context triple: [Courgenay, hasNeighboringMunicipality, Vendlincourt]
-
A.
Vendlincourt
chosen
Vendlincourt is a small municipality in the canton of Jura in northwestern Switzerland, near the French border.
-
B.
Dolancourt
Dolancourt is a small commune in northeastern France’s Grand Est region, known for hosting the Nigloland amusement park.
-
C.
Morlaincourt
Morlaincourt is a small commune in northeastern France, likely known locally for its rural character and proximity to the Yonne river’s headwaters.
-
D.
Vroncourt-la-Côte
Vroncourt-la-Côte is a small commune in northeastern France notable as the birthplace of revolutionary anarchist and educator Louise Michel.
-
E.
Blignicourt
Blignicourt is a small commune in the Aube department of north-central 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_69e0b51d8a308190b09113b3b3f9bc15 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8afa6afcc8190a1f5c599c11d2135 |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:08 p.m.