Triple

T17296146
Position Surface form Disambiguated ID Type / Status
Subject Llanuwchllyn E419914 entity
Predicate near P350 FINISHED
Object Bala E51644 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: Bala | Statement: [Llanuwchllyn, near, Bala]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bala
Context triple: [Llanuwchllyn, near, Bala]
  • A. Bala chosen
    Bala is a small historic market town in Gwynedd, Wales, best known for its proximity to Llyn Tegid (Bala Lake), the largest natural lake in Wales.
  • B. 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.
  • C. Balbala
    Balbala is a major suburban district of Djibouti City, known for its dense population and role as a key residential and commercial area of the capital.
  • D. Bhalesi
    Bhalesi is a regional dialect of the Western Pahari language spoken in parts of the western Himalayan region of India.
  • E. Ballu
    Ballu is a French surname most notably associated with architect Albert Ballu.
  • 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_69d886db32608190a61e18862c5a8af6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e437875b208190bcf0df2ded546257 completed April 19, 2026, 2:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a018c425b2081909f1e339f9c2e9cc7 completed May 11, 2026, 7:58 a.m.
Created at: April 10, 2026, 5:40 a.m.