Triple

T4174096
Position Surface form Disambiguated ID Type / Status
Subject Bathurst E86433 entity
Predicate federalElectorate P1971 FINISHED
Object Calare E359019 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: Calare | Statement: [Bathurst, federalElectorate, Calare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calare
Context triple: [Bathurst, federalElectorate, Calare]
  • A. Calare chosen
    Calare is an Australian federal electoral division in New South Wales, encompassing a large rural and regional area in the state's central west.
  • B. Kalaloch
    Kalaloch is a coastal area on Washington State’s Olympic Peninsula known for its rugged beaches, scenic ocean views, and proximity to Olympic National Park.
  • C. Lacedelli
    Lacedelli is an Italian surname most notably associated with Lino Lacedelli, one of the first climbers to reach the summit of K2.
  • D. Lanin
    Lanín is a prominent stratovolcano in the Andes on the border between Argentina and Chile, known for its conical snow-capped peak and popularity among climbers.
  • E. Tashtego
    Tashtego is a Native American harpooner from Herman Melville’s novel "Moby-Dick," serving aboard the whaling ship Pequod.
  • 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_69aed93de98c8190ad838ce507b77c8a completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02e7d30081909774a3e2a2132d6a completed March 9, 2026, 5:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f5428a0819082aaea8950a7c039 completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:45 p.m.