Triple
T21106942
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belfry of Armentières |
E520071
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Armentières |
—
|
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: Armentières | Statement: [Belfry of Armentières, locatedIn, Armentières]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armentières Context triple: [Belfry of Armentières, locatedIn, Armentières]
-
A.
Armentières
chosen
Armentières is a commune in northern France near the Belgian border, historically known for its textile industry and World War I significance.
-
B.
Crépy-en-Valois
Crépy-en-Valois is a commune in the Oise department of northern France, known for its historic medieval center and role as a regional rail terminus.
-
C.
Neuve-Chapelle
Neuve-Chapelle is a village in northern France notable for being a significant World War I battlefield, particularly during the 1915 Battle of Neuve-Chapelle.
-
D.
Fricourt
Fricourt is a village in the Somme department of northern France, notable for its World War I battlefields and military cemeteries.
-
E.
Beauvechain
Beauvechain is a municipality in Walloon Brabant, Belgium, known for its rural character and the presence of a major Belgian Air Component base.
- 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_69e0b509a318819092fbbcb21d1fe603 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e720fe800c81909edf215c5f1f27c2 |
completed | April 21, 2026, 7:02 a.m. |
Created at: April 16, 2026, 2:53 p.m.