Triple
T17254802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mauzac |
E418851
|
entity |
| Predicate | usedInBlendWith |
P4791
|
FINISHED |
| Object | Len de lEl |
E418852
|
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: Len de lEl | Statement: [Mauzac, usedInBlendWith, Len de lEl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Len de lEl Context triple: [Mauzac, usedInBlendWith, Len de lEl]
-
A.
Len de l’El
chosen
Len de l’El is a rare, traditional white grape variety from southwest France, primarily associated with the Gaillac wine region and valued for producing fresh, aromatic wines.
-
B.
de Lezo
De Lezo is the surname of the Spanish admiral Blas de Lezo, famed for his decisive defense of Cartagena de Indias against a vastly superior British fleet in 1741.
-
C.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
-
D.
Lope
Lope is a Spanish given name of medieval origin, historically borne by figures such as the playwright Lope de Vega.
-
E.
Morlupo
Morlupo is a small town in the Lazio region of central Italy, situated north of Rome in a historically rich rural area.
- 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_69d886d9ab108190b70edd8d17aa1204 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42e6c362c819088965c6e05f33faf |
completed | April 19, 2026, 1:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170fd7f7c81908f417fa758e861a2 |
completed | May 11, 2026, 6:02 a.m. |
Created at: April 10, 2026, 5:39 a.m.