Triple

T34985094
Position Surface form Disambiguated ID Type / Status
Subject Third Party Assessment Organizations E1008922 entity
Predicate accreditationStandard P59270 FINISHED
Object ISO/IEC 17020
ISO/IEC 17020 is an international standard that specifies requirements for the competence and impartiality of bodies performing inspection activities.
 E2119830 NE FINISHED

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/IEC 17020 | Statement: [Third Party Assessment Organizations, accreditationStandard, ISO/IEC 17020]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: ISO/IEC 17020
Triple: [Third Party Assessment Organizations, accreditationStandard, ISO/IEC 17020]
Generated description
ISO/IEC 17020 is an international standard that specifies requirements for the competence and impartiality of bodies performing inspection activities.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: accreditationStandard
Context triple: [Third Party Assessment Organizations, accreditationStandard, ISO/IEC 17020]
  • A. usesAccreditationStandard chosen
    Indicates that one entity applies, follows, or bases its processes or evaluations on a specified accreditation standard.
  • B. accreditation
    Indicates that an authoritative body has formally recognized an entity as meeting specified standards or requirements.
  • C. scopeOfAccreditation
    Indicates the specific range, domains, or activities for which an entity’s accreditation or formal recognition is valid and applicable.
  • D. providesAccreditationFor
    Indicates that one entity formally grants or recognizes official accreditation or certification status for another entity.
  • E. accreditsThrough
    Indicates that an entity grants or recognizes official accreditation by means of, or via the intermediary of, another entity or mechanism.
  • F. None of above.

Provenance (6 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_69f76dc844a48190881951fffb83d17e completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f78710282c81909146dc0be91e983f completed May 3, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a37b28222a4819083274fb2c3e40f8e completed June 21, 2026, 9:44 a.m.
NEDg Description generation batch_6a37b30dbce8819090cd5023e0bb4279 completed June 21, 2026, 9:46 a.m.
NED2 Entity disambiguation (via description) batch_6a37b3e4e4e48190a694902881b3a08f completed June 21, 2026, 9:50 a.m.
PD Predicate disambiguation batch_69f784162134819098413482ef52042f completed May 3, 2026, 5:21 p.m.
Created at: May 3, 2026, 4:01 p.m.