Triple
T6997959
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roquefort |
E162264
|
entity |
| Predicate | hasAOCStatusSince |
P40610
|
FINISHED |
| Object | 1925 (France AOC) |
—
|
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: 1925 (France AOC) | Statement: [Roquefort, hasAOCStatusSince, 1925 (France AOC)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAOCStatusSince Context triple: [Roquefort, hasAOCStatusSince, 1925 (France AOC)]
-
A.
hasAdministrativeStatusSince
chosen
Indicates that an entity has held a particular administrative status continuously from a specified point in time onward.
-
B.
statusAtTime
Indicates that an entity has a particular status or condition at a specified point in time.
-
C.
existsSince
Indicates that an entity has been in existence or valid from a specified point in time onward.
-
D.
oldestStatus
Indicates that the associated status is the earliest or longest-standing one in a sequence of statuses for an entity.
-
E.
hasInceptionPeriod
Indicates the time span or period during which something begins or comes into existence.
- 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_69c68857ffc08190857dc62cd5253777 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbeef57881909245c8a5374a8111 |
completed | March 27, 2026, 7:35 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c67c94819084fdcf0398606027 |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:33 p.m.