Triple

T8551783
Position Surface form Disambiguated ID Type / Status
Subject PATA E202459 entity
Predicate standardizedBy P1371 FINISHED
Object ANSI 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 | Statement: [PATA, standardizedBy, ANSI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ANSI
Context triple: [PATA, standardizedBy, ANSI]
  • 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. ANSI X3.92
    ANSI X3.92 is a U.S. national standard that formally specifies the Data Encryption Standard (DES) symmetric-key cryptographic algorithm for commercial and government use.
  • C. ANSI X3.226-1994
    ANSI X3.226-1994 is the American National Standards Institute specification that formally defines the Common Lisp programming language.
  • D. ISO 646
    ISO 646 is an international standard for 7-bit character encodings that defines a set of basic Latin characters and allows national variants, serving as a foundation for many early computer character sets.
  • E. ANSI X3.74-1987
    ANSI X3.74-1987 is an American National Standards Institute specification that formally defines the PL/I programming language.
  • 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_69ca832610e08190b3b6c6cd2c250255 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe886fb788190a73e7c76c4f86409 completed March 31, 2026, 3:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce6dc7f6fc8190addd5d2bbe1f4408 completed April 2, 2026, 1:23 p.m.
Created at: March 30, 2026, 6:19 p.m.