Triple
T18831786
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Battle of Saucourt-en-Vimeu |
E460549
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Vimeu |
—
|
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: Vimeu | Statement: [Battle of Saucourt-en-Vimeu, locatedIn, Vimeu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vimeu Context triple: [Battle of Saucourt-en-Vimeu, locatedIn, Vimeu]
-
A.
Vimeu
chosen
Vimeu is a historical region in northern France, known for its medieval significance and as the site of the Battle of Saucourt-en-Vimeu.
-
B.
Viacha
Viacha is a Bolivian city in the Altiplano region known for its industrial activity and proximity to La Paz.
-
C.
Vaval
Vaval is the symbolic king of Carnival in Martinique, a giant effigy paraded through the festivities and ceremonially burned to mark the end of the celebration.
-
D.
Visy
Visy is a major Australian packaging and recycling company known for manufacturing paper, cardboard, and related products while operating extensive recycling and waste recovery facilities.
-
E.
Vimioso
Vimioso is a municipality in northeastern Portugal known for its strong cultural ties to the Mirandese language and traditional rural heritage.
- 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99a792c81908b9a0741ef6ee782 |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.