Triple

T12196208
Position Surface form Disambiguated ID Type / Status
Subject Barwon E290590 entity
Predicate hasLargestAreaAmong P32773 FINISHED
Object New South Wales state electorates 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: New South Wales state electorates | Statement: [Barwon, hasLargestAreaAmong, New South Wales state electorates]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasLargestAreaAmong
Context triple: [Barwon, hasLargestAreaAmong, New South Wales state electorates]
  • A. hasLargestAreaOf chosen
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • B. largestNeighborhoodByArea
    Indicates the relationship where a neighborhood is identified as the one with the greatest land area among a specified set or within a given region.
  • C. isLargestDistrictOf
    Indicates that a district is the largest (typically by area or population) among all districts within a specified region or administrative unit.
  • D. hasLargestContinuousLandAreaOn
    Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
  • E. isSmallestByAreaIn
    Indicates that an entity has the smallest area among all comparable entities within a specified set, group, or 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d938cd2edc8190b1971349dbc0dee0 completed April 10, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69d91c38321c819080d500d0d64a04f6 completed April 10, 2026, 3:50 p.m.
Created at: April 8, 2026, 9:50 p.m.