Triple
T11549107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Oxyria |
E273844
|
entity |
| Predicate | leafTaste |
P100082
|
FINISHED |
| Object | sour (in Oxyria digyna) |
—
|
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: sour (in Oxyria digyna) | Statement: [Oxyria, leafTaste, sour (in Oxyria digyna)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: leafTaste Context triple: [Oxyria, leafTaste, sour (in Oxyria digyna)]
-
A.
seedTaste
Indicates that one entity has a particular taste or flavor characteristic associated with its seeds.
-
B.
fruitCharacteristic
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
C.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
-
D.
allowsTastingOf
Indicates that one entity permits another entity to sample or try the taste of something.
-
E.
wineCharacteristic
Indicates a descriptive property or quality attributed to a wine, such as its flavor, aroma, color, or style.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e615b08190a072924329a94a6a |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087e57b48190a4c253dc0210f9d4 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822f00a088190ac6b48e45e743899 |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.