Triple

T17401042
Position Surface form Disambiguated ID Type / Status
Subject City of Greater Dandenong E423087 entity
Predicate seat P75 FINISHED
Object Dandenong NE NERFINISHED

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: Dandenong | Statement: [City of Greater Dandenong, seat, Dandenong]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dandenong
Context triple: [City of Greater Dandenong, seat, Dandenong]
  • A. Dandenong, Victoria chosen
    Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
  • B. Werribee
    Werribee is a suburb in Melbourne, Australia, known for its residential growth, Werribee Open Range Zoo, and historic Werribee Park Mansion.
  • C. Narrabeen
    Narrabeen is a coastal suburb in Sydney, Australia, known for its popular surf beach and scenic lagoon.
  • D. Kilmore
    Kilmore is a small settlement located in the Sleat peninsula area on the Isle of Skye in Scotland.
  • E. Tullamarine, Victoria
    Tullamarine, Victoria is a suburb in Melbourne best known as the location of the city’s primary international airport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43ac126788190b51323bde3c9ba69 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.