Triple

T25340965
Position Surface form Disambiguated ID Type / Status
Subject Adelaide 500 E635410 entity
Predicate supportCategories P58189 FINISHED
Object various national support series 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: various national support series | Statement: [Adelaide 500, supportCategories, various national support series]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: supportCategories
Context triple: [Adelaide 500, supportCategories, various national support series]
  • A. supportArea
    Indicates that one entity serves as a supporting region or surface that provides structural or functional backing for another entity.
  • B. typeOfSupport
    Indicates the kind or category of assistance, help, or backing provided in a given context.
  • C. hasSupportCategory chosen
    Indicates that an entity is associated with a particular type or category of support it receives or provides.
  • D. supportBase
    Indicates that one entity serves as a foundational or backing structure that physically or functionally supports another entity.
  • E. supportUnits
    Indicates that one entity provides assistance, resources, or reinforcement to another entity, often in an operational or functional context.
  • 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_69e75a99bd6481909476115b35b9a8e4 completed April 21, 2026, 11:08 a.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 21, 2026, 1:32 p.m.