Triple

T15388930
Position Surface form Disambiguated ID Type / Status
Subject Eden‑Monaro E367986 entity
Predicate containsTown P847 FINISHED
Object Bombala E1078605 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: Bombala | Statement: [Eden‑Monaro, containsTown, Bombala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bombala
Context triple: [Eden‑Monaro, containsTown, Bombala]
  • A. Bombala chosen
    Bombala is a small rural town in the Snowy Monaro region of New South Wales, Australia, known for its cool climate, historic buildings, and nearby platypus habitats along the Bombala River.
  • B. Bolari
    Bolari is a town and administrative ward located within Gombe State in northeastern Nigeria.
  • C. Bungtla
    Bungtla is a regional dialect variety of the Hakha Chin language spoken by a specific community within the Chin people of Myanmar.
  • D. Butambala
    Butambala is a county in the Buganda Kingdom of central Uganda, known for its predominantly rural communities and agricultural activities.
  • E. Bala
    Bala is a small community in Ontario, Canada, known for its scenic lakeside setting in the Muskoka region and its popular Bala Cranberry Festival.
  • 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e761b688190893a81246b735b76 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134bf8b4819092d77c44d0207e3b completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.