Triple
T18736426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Douaumont |
E458174
|
entity |
| Predicate | hasNearbySite |
P350
|
FINISHED |
| Object | Vaux-devant-Damloup |
—
|
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: Vaux-devant-Damloup | Statement: [Douaumont, hasNearbySite, Vaux-devant-Damloup]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaux-devant-Damloup Context triple: [Douaumont, hasNearbySite, Vaux-devant-Damloup]
-
A.
Vaux-devant-Damloup
chosen
Vaux-devant-Damloup is a former French village in the Meuse department that was destroyed during the Battle of Verdun in World War I and preserved as a memorial site.
-
B.
Vaux
Vaux is a surname most notably associated with Calvert Vaux, the 19th-century British-American architect and landscape designer who co-designed New York City's Central Park.
-
C.
Chavanges
Chavanges is a small commune in the Grand Est region of northeastern France, known for its rural character and traditional Champagne countryside setting.
-
D.
Villeré
Villeré is a French surname associated with individuals such as Marie Laure Villeré.
-
E.
Vaujours
Vaujours is a small suburban commune in the northeastern outskirts of Paris, 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e57689fa508190ad821d361cba9edf |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 10, 2026, 11:51 a.m.