Triple

T30478385
Position Surface form Disambiguated ID Type / Status
Subject Pear E775504 entity
Predicate isLowInFat P13885 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, isLowInFat, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLowInFat
Context triple: [Pear, isLowInFat, true]
  • A. typicalFatContent
    Indicates the usual or characteristic amount of fat contained in something, such as a food or product.
  • B. calorieLevel
    Indicates the relationship between an entity and the amount of calories it contains or provides, typically categorized by intensity or range (e.g., low, medium, high).
  • C. hasLow chosen
    Indicates that an entity possesses a value, level, or amount of something that is below a defined or expected threshold.
  • D. hasLowForm
    Indicates that an entity possesses a lower or less developed form, version, or level of something relative to a standard or comparison.
  • E. isLowImpact
    Indicates that an action, event, or entity has minimal negative effect or disruption on its surrounding system, environment, or context.
  • 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_69f6871ae044819096fece430cc1f9f9 completed May 2, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69f678d2196c8190b9d0d2fcd47cc539 completed May 2, 2026, 10:21 p.m.
Created at: April 29, 2026, 8:12 p.m.