Triple
T3200023
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manzanilla sherry |
E67026
|
entity |
| Predicate | agingType |
P31167
|
FINISHED |
| Object | biological only |
—
|
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: biological only | Statement: [Manzanilla sherry, agingType, biological only]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: agingType Context triple: [Manzanilla sherry, agingType, biological only]
-
A.
engagementType
Indicates the specific kind or category of engagement or interaction that occurs between the related entities.
-
B.
agingMethod
chosen
Indicates the process or technique by which something (typically a product or material) is matured, aged, or allowed to develop its characteristics over time.
-
C.
activityType
Indicates the specific kind or category of action or event that an entity is engaged in or associated with.
-
D.
agingPotential
Indicates the capacity or suitability of something to improve, develop, or remain effective over time as it ages.
-
E.
typeOfInfluence
Indicates the specific nature or category of influence that one entity exerts on another.
- 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_69ad8589bd988190afa7ed2bdffb7b33 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada9ad4b1c8190bc6ad0f025f238c8 |
completed | March 8, 2026, 4:54 p.m. |
| PD | Predicate disambiguation | batch_69ad9e05e4f48190adbe4366cdba2349 |
completed | March 8, 2026, 4:04 p.m. |
Created at: March 8, 2026, 3:07 p.m.