Triple

T18770670
Position Surface form Disambiguated ID Type / Status
Subject High Sierra Format E459008 entity
Predicate supersededBy P101 FINISHED
Object ECMA-119 NE NERFINISHED

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: ECMA-119 | Statement: [High Sierra Format, supersededBy, ECMA-119]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ECMA-119
Context triple: [High Sierra Format, supersededBy, ECMA-119]
  • A. ECMA-119 chosen
    ECMA-119 is an ECMA standard that defines the file system format for CD-ROMs, serving as the basis for the ISO 9660 standard.
  • B. ECMA-125
    ECMA-125 is an ECMA standard that defines the physical and magnetic recording characteristics for 3.5-inch floppy disk media used in microcomputer systems.
  • C. ECMA-404
    ECMA-404 is the ECMA International standard that formally defines the JSON (JavaScript Object Notation) data interchange format.
  • D. ECMA-334
    ECMA-334 is the ECMA International standard that formally defines the C# programming language specification.
  • E. ECMA-372
    ECMA-372 is the ECMA standard that defines the C++/CLI language specification for managed extensions of C++ targeting the .NET runtime.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e59335a01881908731371be1e27a6b completed April 20, 2026, 2:45 a.m.
Created at: April 10, 2026, 11:52 a.m.