Triple

T20615049
Position Surface form Disambiguated ID Type / Status
Subject ISO 18774 E506544 entity
Predicate abbreviation P43 FINISHED
Object ISO 18774:2015 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: ISO 18774:2015 | Statement: [ISO 18774, abbreviation, ISO 18774:2015]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 18774:2015
Context triple: [ISO 18774, abbreviation, ISO 18774:2015]
  • A. ISO 18774 chosen
    ISO 18774 is an international standard that defines the Financial Instrument Short Name (FISN), a concise and standardized way to identify financial instruments.
  • B. ISO 17442
    ISO 17442 is the international standard that specifies the structure and implementation of the Legal Entity Identifier (LEI) system used to uniquely identify legal entities in financial transactions.
  • C. ISO/IEC 15435
    ISO/IEC 15435 is an international standard developed by ISO/IEC for character encoding in information technology, particularly addressing specific coded character sets and their use in data interchange.
  • D. ISO 7098:2015
    ISO 7098:2015 is the international standard that specifies the rules for the romanization of Chinese characters using the Hanyu Pinyin system.
  • E. ISO/IEC 14651
    ISO/IEC 14651 is an international standard that defines a universal method for ordering and comparing text strings (collation) across different languages and scripts.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6aadaf47881909e93efb535c6c1e3 completed April 20, 2026, 10:38 p.m.
Created at: April 16, 2026, 11:41 a.m.