Triple
T16874124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Comines |
E421252
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Comines-Warneton |
E421252
|
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: Comines-Warneton | Statement: [Comines, hasPart, Comines-Warneton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comines-Warneton Context triple: [Comines, hasPart, Comines-Warneton]
-
A.
Comines
chosen
Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
-
B.
Sarreguemines
Sarreguemines is a town in northeastern France near the German border, historically known for its ceramics and faience production.
-
C.
Anthisnes
Anthisnes is a municipality in the province of Liège in Wallonia, Belgium.
-
D.
Fauvillers
Fauvillers is a rural municipality in the province of Luxembourg in Wallonia, Belgium, known for its small villages and countryside landscapes.
-
E.
Momignies
Momignies is a municipality in the Wallonia region of Belgium, located in the province of Hainaut near the French border.
- 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_69d889d470fc8190b4aec199636c0c56 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3b7f5290481909e0fd0af30935fcd |
completed | April 18, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfc6e77c8190853f747687299fce |
completed | May 10, 2026, 6:34 p.m. |
Created at: April 10, 2026, 5:29 a.m.