Triple
T32780241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lauzet |
E838333
|
entity |
| Predicate | statusInJurançon |
P127
|
FINISHED |
| Object | traditional local variety |
—
|
LITERAL 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: traditional local variety | Statement: [Lauzet, statusInJurançon, traditional local variety]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: statusInJurançon Context triple: [Lauzet, statusInJurançon, traditional local variety]
-
A.
statusInFrance
Indicates the legal, social, or official standing or condition that an entity has within the jurisdiction of France.
-
B.
statusInJapan
Indicates the legal, social, or official standing or condition an entity holds specifically within the context of Japan.
-
C.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
-
D.
statusInSira
Indicates the status or standing that an entity holds within the Sira system or classification.
-
E.
status
chosen
Indicates the current condition, state, or standing of an entity within a given context.
- F. None of above.
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_69f3493b83f48190be335cd42465cecf |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fec00f27988190955de6b6348a4d97 |
completed | May 9, 2026, 5:03 a.m. |
| PD | Predicate disambiguation | batch_69febd52037c8190b475dbd50fdbc13e |
completed | May 9, 2026, 4:51 a.m. |
Created at: May 1, 2026, 1:14 a.m.