Triple

T10330383
Position Surface form Disambiguated ID Type / Status
Subject ISO/IEC 10744 E242856 entity
Predicate usesConcept P531 FINISHED
Object HyTime scheduling E48512 NE 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: HyTime scheduling | Statement: [ISO/IEC 10744, usesConcept, HyTime scheduling]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HyTime scheduling
Context triple: [ISO/IEC 10744, usesConcept, HyTime scheduling]
  • A. HyTime chosen
    HyTime is an SGML-based standard for representing and managing hypermedia and time-based multimedia structures in a platform-independent way.
  • B. OurTime
    OurTime is an online dating platform specifically designed to help singles over 50 connect for relationships and companionship.
  • C. Time Agency
    The Time Agency is a futuristic organization in the Doctor Who and Torchwood universe responsible for regulating and manipulating time travel, of which Captain Jack Harkness was once a member.
  • D. The Calendar
    "The Calendar" is a crime thriller play by Edgar Wallace that blends mystery and melodrama around horse racing and high society intrigue.
  • E. Generalized Timing Formula
    Generalized Timing Formula is a VESA-defined method for calculating display timing parameters for computer monitors and other video displays.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d7fb77348190ac8ff887f6f03450 completed April 7, 2026, 10:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71dbc7df48190b8a11a92f946fd30 completed April 9, 2026, 3:32 a.m.
Created at: April 6, 2026, 11:52 a.m.