Triple
T1251586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ataulfo mango |
E26886
|
entity |
| Predicate | fleshFirmness |
P18450
|
FINISHED |
| Object | soft when ripe |
—
|
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: soft when ripe | Statement: [Ataulfo mango, fleshFirmness, soft when ripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fleshFirmness Context triple: [Ataulfo mango, fleshFirmness, soft when ripe]
-
A.
typicalMeat
Indicates that something is commonly or characteristically used or regarded as meat in a given context.
-
B.
skinThickness
Indicates the measured thickness of an entity’s skin, typically quantifying how thick its outer tissue layer is.
-
C.
fruitCharacteristic
chosen
Indicates that a specified characteristic or property is attributed to a particular fruit.
-
D.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
E.
mouthfeel
Indicates the sensory qualities and physical sensations a substance produces in the mouth when consumed.
- 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_69a49487a9c48190ba9b05348fd1b53f |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bf85e1e08190ba6aac3fcd8bb3e7 |
completed | March 1, 2026, 10:36 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6c977c8190a2bf3e8b67a59beb |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.