Triple
T4476759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verdun Memorial Museum |
E100026
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Douaumont |
E458174
|
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: Douaumont | Statement: [Verdun Memorial Museum, locatedIn, Douaumont]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Douaumont Context triple: [Verdun Memorial Museum, locatedIn, Douaumont]
-
A.
Douaumont
chosen
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.
-
B.
Régnié
Régnié is a French red wine appellation and one of the ten Beaujolais crus, known for its fruity, aromatic Gamay-based wines.
-
C.
Montdidier
Montdidier is a small historic town in northern France, located in the Somme department of the Hauts-de-France region.
-
D.
Étiolles
Étiolles is a commune in the Essonne department of the Île-de-France region in northern France, known for its proximity to the Sénart forest and prehistoric archaeological sites.
-
E.
Remigny
Remigny is a small wine-producing village in the Burgundy region of eastern France, situated near the renowned appellation of Santenay.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d8600c8190a8b812889c50f144 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4d66d4948190a095a92d0e3778ca |
completed | March 21, 2026, 7:48 a.m. |
Created at: March 12, 2026, 11:35 p.m.