Triple
T17915937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mansois |
E447925
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Braucol |
—
|
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: Braucol | Statement: [Mansois, alsoKnownAs, Braucol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braucol Context triple: [Mansois, alsoKnownAs, Braucol]
-
A.
Braucol
chosen
Braucol is a red wine grape variety from southwest France, particularly associated with the Gaillac region, known for producing deeply colored, robust wines with spicy, dark-fruit aromas.
-
B.
Falben
Falben is an alternative name for the Cumans, a medieval nomadic Turkic people who inhabited the Eurasian steppe and played a significant role in Eastern European history.
-
C.
Brupass
Brupass is an integrated public transport ticketing system that allows seamless travel across multiple operators and modes within the Brussels metropolitan area.
-
D.
Berol
Berol is a well-known brand of writing and drawing instruments, such as pens and markers, historically recognized in the stationery industry.
-
E.
Borouge
Borouge is a leading petrochemicals company based in the United Arab Emirates, specializing in the production of polyolefins for packaging, infrastructure, and industrial applications.
- 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_69d8b9f6d394819082a6d69fd1e23d2f |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4a3062bfc819083f7c0521bad4db8 |
completed | April 19, 2026, 9:40 a.m. |
Created at: April 10, 2026, 10:20 a.m.