Triple

T22140537
Position Surface form Disambiguated ID Type / Status
Subject Canberra Central E547144 entity
Predicate contains P35 FINISHED
Object Campbell 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: Campbell | Statement: [Canberra Central, contains, Campbell]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Campbell
Context triple: [Canberra Central, contains, Campbell]
  • A. Campbell
    Campbell is a common Scottish surname historically associated with the powerful Clan Campbell of the Scottish Highlands.
  • B. Campbell chosen
    Campbell is a residential suburb in Canberra, Australia, known for its proximity to the city centre, Lake Burley Griffin, and several national institutions.
  • C. Campbell
    Campbell is a small suburban city in California’s Silicon Valley, known as the original home of eBay and for its vibrant downtown and community events.
  • D. Mathison
    Mathison is a surname most notably associated with American screenwriter Melissa Mathison, known for writing the screenplay for "E.T. the Extra-Terrestrial."
  • E. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129bda1208190b851ae5c68b760e9 completed April 28, 2026, 9:42 p.m.
Created at: April 16, 2026, 8:32 p.m.