Triple

T12766621
Position Surface form Disambiguated ID Type / Status
Subject Mount Gambier E305140 entity
Predicate rankInSouthAustraliaByPopulation P106798 FINISHED
Object second-largest urban centre after Adelaide 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: second-largest urban centre after Adelaide | Statement: [Mount Gambier, rankInSouthAustraliaByPopulation, second-largest urban centre after Adelaide]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankInSouthAustraliaByPopulation
Context triple: [Mount Gambier, rankInSouthAustraliaByPopulation, second-largest urban centre after Adelaide]
  • A. hasPopulationRankInTasmania
    Indicates the relative position of an entity in the ordered list of population sizes within Tasmania.
  • B. populationRankInNSW
    Indicates the relative position of an entity in terms of population size compared to other entities within New South Wales (NSW).
  • C. populationRankInQueensland
    Indicates the relative position of an entity in terms of population size compared to other entities within Queensland.
  • D. capitalCityPopulationRankInAustralia
    Indicates the relative population rank of a capital city compared to other capital cities within Australia.
  • E. populationRankInVictoria
    Indicates the relative position of an entity in an ordered ranking based on its population size within the region of Victoria.
  • 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_69d7bdf1fcd081909ffb0e0d6fa3a07d completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96df1ef148190af525532fcb0933b completed April 10, 2026, 9:38 p.m.
PD Predicate disambiguation batch_69d96409739881909174ba005a986cb5 completed April 10, 2026, 8:56 p.m.
PDg Predicate description generation batch_69d96d87078c819083ea724238992204 completed April 10, 2026, 9:37 p.m.
Created at: April 9, 2026, 5:28 p.m.