Triple
T30478382
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pear |
E775504
|
entity |
| Predicate | containsDietaryFiber |
P111435
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Pear, containsDietaryFiber, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsDietaryFiber Context triple: [Pear, containsDietaryFiber, true]
-
A.
isCellulosicFiber
Indicates that a material or fiber is composed primarily of cellulose or derived from cellulose-based sources.
-
B.
hasDietaryCharacteristic
Indicates that an entity possesses a specific dietary property, restriction, or nutritional characteristic.
-
C.
hasNutrientContent
chosen
Indicates that one entity contains or provides a specified amount or type of nutrient relative to another entity or standard.
-
D.
isGlutenFree
Indicates that something does not contain gluten and is suitable for individuals avoiding gluten in their diet.
-
E.
isAbundantInFood
Indicates that a particular nutrient, substance, or component is present in large quantities within a given food.
- 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_69f22497341481909c21ba329fadaa6b |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69ff14d596e88190be5263b7f96a96cd |
completed | May 9, 2026, 11:04 a.m. |
| PD | Predicate disambiguation | batch_69ff13f0208081909369aeb3b77a6b1f |
completed | May 9, 2026, 11:01 a.m. |
Created at: April 29, 2026, 8:12 p.m.