Triple

T24566392
Position Surface form Disambiguated ID Type / Status
Subject Sercial E607800 entity
Predicate oxidativeAgingSuitability P156370 FINISHED
Object high 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: high | Statement: [Sercial, oxidativeAgingSuitability, high]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: oxidativeAgingSuitability
Context triple: [Sercial, oxidativeAgingSuitability, high]
  • A. oxidativeAging
    Indicates a process where a substance or material undergoes deterioration or change over time due to reactions with oxygen or oxidative agents.
  • B. typicalAgingTime
    Indicates the usual duration required for something to age or mature under normal conditions.
  • C. mayBeAgedIn
    Indicates that an entity has the potential or option to undergo an aging or maturation process in a specified medium, container, or environment.
  • D. isSuitableFor
    Indicates that one entity is appropriate, fitting, or well-matched for use, application, or association with another entity.
  • E. typicalAgingIndication
    Indicates that something serves as a sign or marker commonly associated with the normal process of aging.
  • 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_69e2c4cc35a48190990b7571bc086df8 completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a92082a881908896dcdda85559b9 completed April 30, 2026, 12:58 a.m.
PD Predicate disambiguation batch_69f2a6b99e7c8190ba7e2dc8729a314a completed April 30, 2026, 12:47 a.m.
PDg Predicate description generation batch_69f2a846c5bc81909ba50cee483bea91 completed April 30, 2026, 12:54 a.m.
Created at: April 18, 2026, 2:28 a.m.