Triple

T14617288
Position Surface form Disambiguated ID Type / Status
Subject Sydney light rail E343117 entity
Predicate connectsHub P423 FINISHED
Object Kingsford E867480 NE 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: Kingsford | Statement: [Sydney light rail, connectsHub, Kingsford]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kingsford
Context triple: [Sydney light rail, connectsHub, Kingsford]
  • A. Kingsford chosen
    Kingsford is a residential suburb in Sydney, Australia, known for its proximity to the University of New South Wales and its diverse, student-friendly community.
  • B. Sholto
    Sholto is a masculine given name of Scottish origin, historically associated with figures such as military leaders and nobles.
  • C. Lobethal
    Lobethal is a small town in South Australia known for its German heritage and popular annual Christmas lights festival.
  • D. Pinegorine
    Pinegorine is an alternative name for the Bangerang people, an Aboriginal Australian group traditionally associated with parts of northern Victoria and southern New South Wales.
  • E. Blackwood
    Blackwood is a town in south Wales known for its coal-mining heritage and location in the Sirhowy Valley.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d822dec68081908c2553145c4051dc completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb46439b88190a4affcc7ccedab6b completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fda924c7308190931c03fbac57b0bf completed May 8, 2026, 9:13 a.m.
Created at: April 10, 2026, 1:25 a.m.