Triple
T4179598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mende |
E86560
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object | Gevaudan |
E391426
|
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: Gevaudan | Statement: [Mende, historicalRegion, Gevaudan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gevaudan Context triple: [Mende, historicalRegion, Gevaudan]
-
A.
Gevaudan
chosen
Gevaudan is a historic region in south-central France, best known for the 18th-century legend of the Beast of Gévaudan that terrorized its countryside.
-
B.
Moreau
Moreau is a town in Saratoga County, New York, known for its residential communities and proximity to natural and recreational areas such as Moreau Lake State Park.
-
C.
Moreau
Moreau is a French surname most famously associated with the 19th-century Symbolist painter Gustave Moreau.
-
D.
Gaspard
Gaspard is a French masculine given name historically borne by notable figures such as nobles, military leaders, and artists.
-
E.
Caietanus
Caietanus is a Latin name or adjective meaning “of Gaeta,” historically used to denote people or things originating from the ancient Italian coastal city of Gaeta.
- 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_69aed93de98c8190ad838ce507b77c8a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0302972c819082f6e1938ed417c4 |
completed | March 9, 2026, 5:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589f5864881909c9fc787dd9b2341 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:45 p.m.