Triple
T25815047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colorino |
E650224
|
entity |
| Predicate | resistanceCharacteristic |
P67874
|
FINISHED |
| Object | good color stability in wine |
—
|
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: good color stability in wine | Statement: [Colorino, resistanceCharacteristic, good color stability in wine]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: resistanceCharacteristic Context triple: [Colorino, resistanceCharacteristic, good color stability in wine]
-
A.
typeOfResistance
Indicates the kind or category of resistance that characterizes how an entity opposes, impedes, or withstands another entity or influence.
-
B.
isResistant
chosen
Indicates that an entity can withstand, oppose, or is not significantly affected by a specified force, influence, or agent.
-
C.
unitOfResistance
Indicates that one entity represents a unit used to measure electrical resistance of another entity.
-
D.
stabilityCharacteristic
Indicates that one entity specifies a property or feature related to the stability or steadiness of another entity or system.
-
E.
rulesCharacteristic
Indicates that one entity establishes or defines a characteristic, property, or feature that another entity must follow or conform to.
- 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_69e7ab367fcc8190a5ff1e7f3da046a4 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f600c84ac4819091492e52a5a8b873 |
completed | May 2, 2026, 1:48 p.m. |
| PD | Predicate disambiguation | batch_69f4938b960081909b53c074a3e0c7c2 |
completed | May 1, 2026, 11:50 a.m. |
Created at: April 22, 2026, 7:25 a.m.