Triple
T23102571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heida |
E576071
|
entity |
| Predicate | acidityCharacteristic |
P56868
|
FINISHED |
| Object | freshness |
—
|
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: freshness | Statement: [Heida, acidityCharacteristic, freshness]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: acidityCharacteristic Context triple: [Heida, acidityCharacteristic, freshness]
-
A.
acidityLevel
Indicates the degree or intensity of acidity associated with an entity, typically measured by pH or a comparable scale.
-
B.
isMoreAcidicThan
Indicates that one substance has a lower pH (greater concentration of hydrogen ions) and thus a stronger acidic character than another substance.
-
C.
wineAcidityType
chosen
Indicates the type or category of acidity associated with a given wine.
-
D.
isWeakAcid
Indicates that a substance partially dissociates into ions in solution, characterizing it as a weak acid.
-
E.
exampleAcid
Indicates that a substance exhibits the characteristic properties or behavior of an acid in a given context.
- 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_69e245c060b48190a9bd61a47a16db17 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18de9fa8c81909fd26ff37173b85b |
completed | April 29, 2026, 4:49 a.m. |
| PD | Predicate disambiguation | batch_69ef89e5ce748190b2c3ac3843484127 |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 3:58 p.m.