Triple

T4500066
Position Surface form Disambiguated ID Type / Status
Subject XNYN E101196 entity
Predicate standardizedIn P7508 FINISHED
Object ISO 10383 E86738 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 10383 | Statement: [XNYN, standardizedIn, ISO 10383]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ISO 10383
Context triple: [XNYN, standardizedIn, ISO 10383]
  • A. ISO 10383 chosen
    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.
  • B. ISO 10957
    ISO 10957 is the international standard that defines the International Standard Music Number (ISMN) system used to uniquely identify printed music publications worldwide.
  • C. ISO 10589
    ISO 10589 is the international standard that defines the Intermediate System to Intermediate System (IS-IS) routing protocol used for exchanging routing information within an autonomous system.
  • D. ISO 2108
    ISO 2108 is the international standard that defines the structure and use of the International Standard Book Number (ISBN) system for identifying books and related publications.
  • E. ISO 23950
    ISO 23950 is an international standard that defines the Z39.50 client-server protocol for searching and retrieving information from remote databases in a networked environment.
  • 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_69bd43d175248190894dc58b5b395c26 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd56c4080c8190bd9580c961acaca8 completed March 20, 2026, 2:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69bd6f89114081908adbd8e78d4c8ec4 completed March 20, 2026, 4:02 p.m.
Created at: March 20, 2026, 1 p.m.