Triple

T1079910
Position Surface form Disambiguated ID Type / Status
Subject ASCII E23922 entity
Predicate standardNumber P4626 FINISHED
Object ANSI X3.4 E6170 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: ANSI X3.4 | Statement: [ASCII, standardNumber, ANSI X3.4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI X3.4
Context triple: [ASCII, standardNumber, ANSI X3.4]
  • A. ANSI chosen
    ANSI is a private non-profit organization that oversees the development and coordination of voluntary consensus standards for products, services, processes, and systems in the United States.
  • B. ISO/IEC 8652
    ISO/IEC 8652 is the international standard that formally defines the Ada programming language, including its syntax, semantics, and core features.
  • C. ISO 7775
    ISO 7775 is an older international standard that defined message formats for securities transactions and related financial communications, later superseded by ISO 15022.
  • D. IEEE 1532
    IEEE 1532 is an extension of the JTAG boundary-scan standard that defines in-system programming and configuration procedures for programmable devices such as FPGAs and CPLDs.
  • E. ISO 10383
    ISO 10383 is an international standard that defines and maintains Market Identifier Codes (MICs) used to uniquely identify securities trading venues and related entities worldwide.
  • 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_69a493f1ddf48190a99d54b00e99f8ce completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b94509d08190964509ea4a2d7912 completed March 1, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac42addb188190a26dd3071abf64d6 completed March 7, 2026, 3:22 p.m.
Created at: March 1, 2026, 7:42 p.m.