Triple

T633565
Position Surface form Disambiguated ID Type / Status
Subject Holden Commodore E15972 entity
Predicate assemblyLocation P40 FINISHED
Object Port Melbourne, Victoria E4488 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: Port Melbourne, Victoria | Statement: [Holden Commodore, assemblyLocation, Port Melbourne, Victoria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Melbourne, Victoria
Context triple: [Holden Commodore, assemblyLocation, Port Melbourne, Victoria]
  • A. Melbourne chosen
    Melbourne is a major Australian city known for its vibrant arts scene, diverse culture, and status as a leading center for sports and education.
  • B. Wollongong
    Wollongong is a coastal city in Australia known for its heavy industry, port facilities, and popular surf beaches along the Illawarra region.
  • C. Port of Hobart
    The Port of Hobart is a key deep-water seaport in Tasmania, Australia, serving as a major hub for commercial shipping, Antarctic research vessels, and regional maritime trade.
  • D. Sydney
    Sydney is Australia's largest and most populous city, renowned for its iconic harbour, Opera House, and Harbour Bridge.
  • E. Dandenong, Victoria
    Dandenong, Victoria is a suburb in Melbourne, Australia, known historically as an industrial and manufacturing hub.
  • 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_69a4935c131c8190a5378c6bf101e8cc completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49ec3b6488190aa0dce216c089a2e completed March 1, 2026, 8:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d69ade481909322f5f28f0050e4 completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:35 p.m.