Triple

T30774089
Position Surface form Disambiguated ID Type / Status
Subject Fujifilm X-H2 E783609 entity
Predicate isoRange P28992 FINISHED
Object ISO 125–12800 standard 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: ISO 125–12800 standard | Statement: [Fujifilm X-H2, isoRange, ISO 125–12800 standard]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isoRange
Context triple: [Fujifilm X-H2, isoRange, ISO 125–12800 standard]
  • A. isoRangeNative
    Indicates that two values fall within the same native ISO-defined range or interval, according to the system’s inherent ISO-based scale or categorization.
  • B. isoScope
    Indicates that one entity defines or constrains the scope or boundary within which another entity is considered equivalent or comparable.
  • C. rangeOf chosen
    Indicates that one entity specifies the set of possible values (range) that another entity’s outputs or properties can take.
  • D. introducedRange
    Indicates that an entity has brought a particular range (such as a span, interval, or set of values) into existence, use, or consideration.
  • E. coreRange
    Indicates the primary spatial or temporal extent within which an entity, phenomenon, or relationship is predominantly present or valid.
  • 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_69f224b1519081908b9db003fd2073e0 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f68fe016688190b2fe1f6931ee1e48 completed May 2, 2026, 11:59 p.m.
PD Predicate disambiguation batch_69f68b7b03488190b1db5fde4c7dd6e5 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:40 p.m.