Triple

T13184088
Position Surface form Disambiguated ID Type / Status
Subject US0846701086 E313801 entity
Predicate isStandardizedBy P1371 FINISHED
Object ISO 6166 E118835 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: ISO 6166 | Statement: [US0846701086, isStandardizedBy, ISO 6166]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 6166
Context triple: [US0846701086, isStandardizedBy, ISO 6166]
  • A. ISO 6166 chosen
    ISO 6166 is an international standard that defines the structure and assignment of International Securities Identification Numbers (ISINs) used to uniquely identify financial securities worldwide.
  • B. 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standard that defined message formats for securities transactions and related financial communications, later superseded by ISO 15022.
  • C. ISO 6160:1979
    ISO 6160:1979 is an international standard that specifies the syntax and features of the PL/I programming language.
  • D. ISO 843
    ISO 843 is the international standard that defines how to systematically transliterate Modern Greek characters into Latin script.
  • E. ISO 7098
    ISO 7098 is an international standard that specifies the rules for the romanization of Chinese characters using the Hanyu Pinyin system.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c4a0b0081908027bf77442ff5ff completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5f307408190afd0df16a417c456 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:15 p.m.