Triple

T15104397
Position Surface form Disambiguated ID Type / Status
Subject Blackall Range E360749 entity
Predicate hasTown P847 FINISHED
Object Mapleton E319986 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: Mapleton | Statement: [Blackall Range, hasTown, Mapleton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mapleton
Context triple: [Blackall Range, hasTown, Mapleton]
  • A. Mapleton chosen
    Mapleton is a small rural town in the Sunshine Coast hinterland of Queensland, Australia, known for its scenic views, rainforest walks, and proximity to Mapleton Falls National Park.
  • B. Mapleton
    Mapleton is a small village in Derbyshire, England, known for its picturesque rural setting in the Peak District near the River Dove.
  • C. Mapleton
    Mapleton is a rural township municipality in Wellington County, Ontario, known for its agricultural landscape and small communities.
  • D. Mapleton
    Mapleton is a locality adjacent to Gravesend, likely a residential neighborhood or area within the same broader region.
  • E. Mapleton
    Mapleton is a primarily residential neighborhood in southwestern Brooklyn, New York City, known for its quiet streets and diverse community.
  • 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_69d85a0491ec8190830960be8fafb994 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e00551521c8190b48d1a074bb4bdfc completed April 15, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae274f6881908931569efc09996e completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:05 a.m.