Triple
T18449729
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vendlincourt |
E450747
|
entity |
| Predicate | hasNeighboringMunicipality |
P224
|
FINISHED |
| Object | Courcelles |
—
|
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: Courcelles | Statement: [Vendlincourt, hasNeighboringMunicipality, Courcelles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Courcelles Context triple: [Vendlincourt, hasNeighboringMunicipality, Courcelles]
-
A.
Courcelles
Courcelles is a district in Brussels, Belgium, known for being served by the city's metro system.
-
B.
Courcelles
chosen
Courcelles is a municipality in the Walloon region of Belgium, known historically as part of the industrial coal-mining area around Charleroi.
-
C.
Gouvieux
Gouvieux is a commune in northern France known for hosting the French residence of Aga Khan IV, Shah Karim al-Husayni.
-
D.
Meyriez
Meyriez is a small municipality in the canton of Fribourg in western Switzerland, situated on the shores of Lake Murten.
-
E.
Douaumont
Douaumont is a small commune in northeastern France best known for its World War I battlefield sites near Verdun, including major memorials and military cemeteries.
- 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_69d8d38345688190b565eac2e4cd7935 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5264748dc8190984501af3e4b2036 |
completed | April 19, 2026, 7 p.m. |
Created at: April 10, 2026, 11:30 a.m.