Triple
T34032522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Château Malescot St. Exupéry |
E872696
|
entity |
| Predicate | classification1855 |
P121172
|
FINISHED |
| Object | Troisième Cru |
—
|
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: Troisième Cru | Statement: [Château Malescot St. Exupéry, classification1855, Troisième Cru]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classification1855 Context triple: [Château Malescot St. Exupéry, classification1855, Troisième Cru]
-
A.
original1855Classification
chosen
Indicates the classification or category originally assigned to something in the year 1855.
-
B.
classificationAccordingTo
Indicates that an entity is assigned a particular class, type, or category as defined or determined by a specified source, standard, or authority.
-
C.
classificationIntroduced
Indicates that one entity has introduced or established a particular classification or categorization for another entity.
-
D.
classificationByUS
Indicates a relationship where an entity is assigned a category, status, or type according to a classification system defined or used by the United States.
-
E.
eraClassification
Indicates the historical era or time period into which an entity is categorized or classified.
- 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_69f349a2527c81909a7cd4bda94d70ad |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f72ad38a208190b4bdc828297f86ad |
completed | May 3, 2026, 11 a.m. |
| PD | Predicate disambiguation | batch_69f72a0243988190a43b8ea22457cd30 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 1:51 a.m.