Triple

T868591
Position Surface form Disambiguated ID Type / Status
Subject ISO 9660 E18760 entity
Predicate filenameLengthLimit P15978 FINISHED
Object 8.3 format in Level 1 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: 8.3 format in Level 1 | Statement: [ISO 9660, filenameLengthLimit, 8.3 format in Level 1]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: filenameLengthLimit
Context triple: [ISO 9660, filenameLengthLimit, 8.3 format in Level 1]
  • A. isLimitOf
    Indicates that one quantity, function, or sequence approaches a particular value as its input or index approaches some specified point or condition.
  • B. maximumSegmentLength chosen
    Indicates the greatest allowable or observed length of a segment within a given context or structure.
  • C. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • D. isFeatureLength
    Indicates that something (typically a film or video) has a duration long enough to be considered a full-length, standard feature.
  • E. maximumNumberOfSegments
    Indicates the greatest allowable or observed count of discrete segments into which something can be or is divided.
  • 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_69a4938ce8688190a24bdfef82ba7d21 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ac7f98908190883f71049092c7c8 completed March 1, 2026, 9:15 p.m.
PD Predicate disambiguation batch_69a4aa87504481909618a6815948da6f completed March 1, 2026, 9:07 p.m.
Created at: March 1, 2026, 7:39 p.m.