Triple
T13986328
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amontillado |
E336449
|
entity |
| Predicate | sweetenedVersionKnownAs |
P112054
|
FINISHED |
| Object | medium sherry |
—
|
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: medium sherry | Statement: [Amontillado, sweetenedVersionKnownAs, medium sherry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sweetenedVersionKnownAs Context triple: [Amontillado, sweetenedVersionKnownAs, medium sherry]
-
A.
sweetenerVariant
Indicates that one sweetening agent is a specific type, version, or alternative form of another sweetening agent.
-
B.
sweetenerType
Indicates the specific kind or category of sweetener associated with or used in relation to an entity.
-
C.
containsSweeteners
Indicates that something includes one or more sweetening substances as part of its composition or contents.
-
D.
sweetening
Indicates the action or process of making something taste sweeter, often by adding a sweet substance.
-
E.
hasSugarFreeVariant
Indicates that an item has a corresponding version or option that is formulated without sugar.
- F. None of above. chosen
Provenance (4 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea3e5a081908ed8ead108139252 |
completed | April 14, 2026, 12:10 p.m. |
| PD | Predicate disambiguation | batch_69dd465dfbc4819090d8c61fd572d35f |
completed | April 13, 2026, 7:39 p.m. |
| PDg | Predicate description generation | batch_69de01ed2098819088ec45069f6f2609 |
completed | April 14, 2026, 8:59 a.m. |
Created at: April 9, 2026, 10:18 p.m.