Triple

T14617544
Position Surface form Disambiguated ID Type / Status
Subject Bothasig E343123 entity
Predicate hasNearbySuburb P41355 FINISHED
Object Milnerton E67722 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: Milnerton | Statement: [Bothasig, hasNearbySuburb, Milnerton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Milnerton
Context triple: [Bothasig, hasNearbySuburb, Milnerton]
  • A. Milnerton chosen
    Milnerton is a coastal suburb of Cape Town in South Africa, known for its beaches, lagoon, and views across Table Bay toward Table Mountain.
  • B. Buckhaven
    Buckhaven is a coastal town in eastern Scotland, situated on the Firth of Forth in the historic county of Fife.
  • C. Risdon Vale
    Risdon Vale is a residential suburb located on the eastern shore of Hobart in Tasmania, Australia.
  • D. Greenmount
    Greenmount is a small rural town in Queensland, Australia, situated within the Toowoomba Region and known for its agricultural surroundings and historic character.
  • E. Camperdown
    Camperdown is an inner-western suburb of Sydney, Australia, known for housing the main campus of the University of Sydney and major medical and research facilities.
  • 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_69fe9db810c481908dde925ff90f3fa0 completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:25 a.m.