Triple
T8528122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Tâche AOC |
E201870
|
entity |
| Predicate | hasLegalStatusSince |
P64148
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [La Tâche AOC, hasLegalStatusSince, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLegalStatusSince Context triple: [La Tâche AOC, hasLegalStatusSince, 1936]
-
A.
hasLegalStatus
Indicates that an entity possesses a particular legal classification, recognition, or standing under law.
-
B.
hasAdministrativeStatusSince
Indicates that an entity has held a particular administrative status continuously from a specified point in time onward.
-
C.
hasLegalBasisSince
chosen
Indicates that something has had a valid legal foundation or authority starting from a specified point in time.
-
D.
hasHighestLegalStatusWithinCountry
Indicates that an entity holds the topmost legally recognized status or rank within a specific country, above all other comparable statuses.
-
E.
legalStatusAfter1801
Indicates the legal status or condition of an entity as it existed or was defined after the year 1801.
- 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_69ca83228b24819085d22e7dc99f5d94 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe672e0588190a84328e1bf974f08 |
completed | March 31, 2026, 3:21 p.m. |
| PD | Predicate disambiguation | batch_69cbd111bf988190be98c92a607c6456 |
completed | March 31, 2026, 1:50 p.m. |
Created at: March 30, 2026, 6:17 p.m.