Triple
T6638264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mulgoba mango |
E150512
|
entity |
| Predicate | pulpTexture |
P4016
|
FINISHED |
| Object | fiberless |
—
|
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: fiberless | Statement: [Mulgoba mango, pulpTexture, fiberless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pulpTexture Context triple: [Mulgoba mango, pulpTexture, fiberless]
-
A.
texture
chosen
Indicates the surface quality or feel of an entity as perceived by touch or appearance, such as being smooth, rough, soft, or coarse.
-
B.
usesTexture
Indicates that one entity employs or incorporates the texture of another entity in its appearance, design, or representation.
-
C.
petalTexture
Indicates the type or quality of surface texture exhibited by a flower’s petals.
-
D.
openingTexture
Indicates the characteristic surface quality or feel presented at the beginning phase of an event, process, or work (such as a piece of music, writing, or design).
-
E.
pegType
Indicates the specific category or kind of peg associated with or assigned to an entity.
- 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_69c687f0ceb08190bf40807bfc605fa5 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6c308a08881908501c862b3029321 |
completed | March 27, 2026, 5:48 p.m. |
| PD | Predicate disambiguation | batch_69c6ad024860819084b9b535b136ede6 |
completed | March 27, 2026, 4:14 p.m. |
Created at: March 27, 2026, 2 p.m.