Triple
T9866015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burgundy AOC wines |
E239833
|
entity |
| Predicate | labelIndicates |
P77071
|
FINISHED |
| Object | appellation name |
—
|
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: appellation name | Statement: [Burgundy AOC wines, labelIndicates, appellation name]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: labelIndicates Context triple: [Burgundy AOC wines, labelIndicates, appellation name]
-
A.
labelIndication
Indicates that a label or designation is assigned to an entity to specify its indication, purpose, or intended use.
-
B.
labelDepicts
chosen
Indicates that one entity serves as a label or caption that visually or textually represents, illustrates, or describes another entity.
-
C.
labelOf
Indicates that one entity serves as the name, tag, or identifying label assigned to another entity.
-
D.
labelCatalog
Indicates assigning or associating a descriptive label or identifier with a catalog entity or catalog entry.
-
E.
canIndicate
Indicates that one entity has the potential or capacity to serve as a sign, signal, or evidence of another entity or condition.
- 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_69ca84e7506c819095cbde4ff16512bb |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb3d091e48190b10463562d0dc461 |
completed | April 2, 2026, 12:09 a.m. |
| PD | Predicate disambiguation | batch_69cd1d7621d48190aa6a6f34399514b0 |
completed | April 1, 2026, 1:28 p.m. |
Created at: March 30, 2026, 8:36 p.m.