Triple
T1210999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Haden mango |
E25998
|
entity |
| Predicate | fiberContent |
P24707
|
FINISHED |
| Object | moderate fiber |
—
|
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: moderate fiber | Statement: [Haden mango, fiberContent, moderate fiber]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fiberContent Context triple: [Haden mango, fiberContent, moderate fiber]
-
A.
fiberType
Indicates the specific kind or classification of fiber that characterizes or composes an entity.
-
B.
textFragment
Indicates that one piece of text is a constituent part or segment of a larger text.
-
C.
isCellulosicFiber
Indicates that a material or fiber is composed primarily of cellulose or derived from cellulose-based sources.
-
D.
isNaturalFiber
Indicates that a material or textile is made from fibers derived from natural sources rather than synthetic ones.
-
E.
typicalCelluloseContent
Indicates the usual or characteristic amount of cellulose present in or associated with an entity.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4bde581308190bbe30683bf6c48c3 |
completed | March 1, 2026, 10:29 p.m. |
| PD | Predicate disambiguation | batch_69a4bb6078088190ba0221ae3368416c |
completed | March 1, 2026, 10:19 p.m. |
| PDg | Predicate description generation | batch_69a4bbf83584819088c69366f58586cc |
completed | March 1, 2026, 10:21 p.m. |
Created at: March 1, 2026, 7:46 p.m.