Triple

T20765134
Position Surface form Disambiguated ID Type / Status
Subject wal E511074 entity
Predicate standardCodeSet P102462 FINISHED
Object ISO 639-2 NE NERFINISHED

How this triple was built (3 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: ISO 639-2 | Statement: [wal, standardCodeSet, ISO 639-2]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 639-2
Context triple: [wal, standardCodeSet, ISO 639-2]
  • A. ISO 639 chosen
    ISO 639 is an international standard that defines codes for the representation of names of languages.
  • B. ISO 639-3
    ISO 639-3 is an international standard that assigns three-letter codes to uniquely identify the world’s languages, including many lesser-known and endangered ones.
  • C. ISO 639-3 Registration Authority
    The ISO 639-3 Registration Authority is the organization responsible for maintaining and updating the ISO 639-3 standard, which assigns three-letter codes to the world’s languages.
  • D. ISO 3166-3
    ISO 3166-3 is the part of the ISO 3166 standard that defines codes for countries and territories that have been removed from the current ISO 3166-1 list, providing their former country codes and their replacements.
  • E. ISO 15924
    ISO 15924 is an international standard that assigns four-letter codes to the world’s writing systems and scripts for use in information processing and interchange.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: standardCodeSet
Context triple: [wal, standardCodeSet, ISO 639-2]
  • A. standardCodeSystem
    Indicates that an entity uses or is associated with a recognized, authoritative coding or classification system as its reference standard.
  • B. hasStandardCode chosen
    Indicates that an entity is associated with a recognized standard code that formally identifies or classifies it.
  • C. standardNumberStandardizedBy
    Indicates that a standard number has been formally defined, approved, or regulated by a specific standardizing authority or organization.
  • D. numericCode
    Indicates that an entity is associated with a specific numerical identifier or classification code.
  • E. standardNumber
    Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
  • 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_69e0b4ca01148190ac018e57e0cab46f completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c24bde0c8190b46986b89bf2e037 completed April 21, 2026, 12:18 a.m.
PD Predicate disambiguation batch_69e5c0550ec481908a0877fb2409d983 completed April 20, 2026, 5:57 a.m.
Created at: April 16, 2026, 12:36 p.m.