Triple

T63746
Position Surface form Disambiguated ID Type / Status
Subject UDP E1266 entity
Predicate firstStandardized P3694 FINISHED
Object 1980 LITERAL 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: 1980 | Statement: [UDP, firstStandardized, 1980]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: firstStandardized
Context triple: [UDP, firstStandardized, 1980]
  • A. firstStandardApproved
    Indicates that an entity is the earliest or initial standard that has received formal approval.
  • B. standardizedBy
    Indicates that one entity defines, regulates, or formalizes the standards or specifications by which another entity is created, measured, or operated.
  • C. usesStandard
    Indicates that one entity adopts, follows, or operates according to a specified standard defined by another entity or reference.
  • D. standardType
    Indicates that one entity is classified as the standard, canonical, or reference type for another entity or context.
  • E. hasStandardizationBody
    Indicates that an entity is associated with, governed by, or defined by a specific standards-setting organization or authority.
  • F. None of above. chosen

Provenance (4 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24fd16c248190a6ee4cd96c388772 completed Feb. 28, 2026, 2:15 a.m.
PD Predicate disambiguation batch_69a24ea3c44081908fa3856969881d1f completed Feb. 28, 2026, 2:10 a.m.
PDg Predicate description generation batch_69a24fcf5a88819088c5fa4c08476358 completed Feb. 28, 2026, 2:15 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.