Triple

T22140713
Position Surface form Disambiguated ID Type / Status
Subject Inner South Canberra E547148 entity
Predicate containsSuburb P21902 FINISHED
Object Barton 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: Barton | Statement: [Inner South Canberra, containsSuburb, Barton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Barton
Context triple: [Inner South Canberra, containsSuburb, Barton]
  • A. Barton
    Barton is the middle name of William Barton Rogers, the American scientist and educator who founded the Massachusetts Institute of Technology (MIT).
  • B. Barton chosen
    Barton is an inner suburb of Canberra, Australia, known for housing key government departments and diplomatic missions near the shores of Lake Burley Griffin.
  • C. Barton
    Barton is a district within the City of Salford in Greater Manchester, England, forming part of the Salford and Eccles parliamentary constituency.
  • D. Barton
    Barton is an Australian federal electoral division in New South Wales that includes suburbs in southern Sydney.
  • E. Barton
    Barton is a small settlement or locality within the village and civil parish of Winscombe in North Somerset, England.
  • 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.