Triple

T6942240
Position Surface form Disambiguated ID Type / Status
Subject Aquasource line E160705 entity
Predicate hasKeyBenefit P2188 FINISHED
Object long-lasting moisture 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: long-lasting moisture | Statement: [Aquasource line, hasKeyBenefit, long-lasting moisture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasKeyBenefit
Context triple: [Aquasource line, hasKeyBenefit, long-lasting moisture]
  • A. hasBenefit chosen
    Indicates that one entity provides an advantage, improvement, or positive outcome to another entity.
  • B. criterionForBenefits
    Indicates that something serves as a condition or standard that must be met in order for an entity to receive certain benefits.
  • C. benefitsAre
    Indicates that certain advantages, gains, or positive outcomes are possessed by or accrue to a particular entity or group.
  • D. isIndividualBenefit
    Indicates that something provides a benefit or advantage to a single individual rather than to a group or collective.
  • E. exclusiveBenefit
    Indicates that a benefit is provided to one party or group in a way that excludes others from receiving the same advantage.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e0c74fe48190aeaa018631e52ef6 completed March 27, 2026, 7:55 p.m.
PD Predicate disambiguation batch_69c6d7bd5a388190a57a96d925696ff6 completed March 27, 2026, 7:17 p.m.
Created at: March 27, 2026, 2:28 p.m.