Triple

T14262397
Position Surface form Disambiguated ID Type / Status
Subject NL-WE E353553 entity
Predicate hasNotationFormat P107278 FINISHED
Object alpha-numeric 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: alpha-numeric | Statement: [NL-WE, hasNotationFormat, alpha-numeric]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotationFormat
Context triple: [NL-WE, hasNotationFormat, alpha-numeric]
  • A. usesNotationFor
    Indicates that one entity employs or adopts a particular notation system or symbolic representation for another entity.
  • B. hasObjectNotation
    Indicates that an entity is represented or expressed using a specific object-based notation or symbolic format.
  • C. hasFormatSpecification chosen
    Indicates that something is associated with a particular format definition or specification that describes how it should be structured or represented.
  • D. hasAlternativeNotation
    Indicates that an entity can be represented or written in a different, equivalent form or notation.
  • E. hasFormatElement
    Indicates that one entity includes, is composed of, or is associated with a specific structural or formatting component of its overall format.
  • F. None of above.

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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de63563fc88190b0abdbf8529c65eb completed April 14, 2026, 3:55 p.m.
PD Predicate disambiguation batch_69de2a7d586c8190846ff242bbf5ac53 completed April 14, 2026, 11:52 a.m.
Created at: April 10, 2026, 1:09 a.m.