Triple

T109504
Position Surface form Disambiguated ID Type / Status
Subject Baron Balinhard E2213 entity
Predicate region P40 FINISHED
Object Angus E2212 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: Angus | Statement: [Baron Balinhard, region, Angus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angus
Context triple: [Baron Balinhard, region, Angus]
  • A. Angus chosen
    Angus is a historic county and region on the east coast of Scotland known for its rural landscapes, agriculture, and coastal towns.
  • B. Wool E. Bull
    Wool E. Bull is the costumed bovine mascot of the Durham Bulls minor league baseball team, known for entertaining fans with on-field antics and community appearances.
  • C. Mouton
    Mouton is an academic publishing house known for its influential works in linguistics and related fields.
  • D. Labrador
    Labrador is a vast, sparsely populated region in eastern Canada known for its rugged subarctic landscapes, rich mineral resources, and Indigenous Inuit and Innu communities.
  • E. Bronk
    Bronk is a surname most notably associated with Detlev W. Bronk, an influential American scientist and educator who helped shape modern biophysics and higher education policy.
  • 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_69a24fcdaeb48190a2d796677e4b3281 completed Feb. 28, 2026, 2:15 a.m.
NER Named-entity recognition batch_69a256ce54b48190a3337f5f45d82859 completed Feb. 28, 2026, 2:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2917a5a7081909f1c3ec53bc51dfb completed Feb. 28, 2026, 6:55 a.m.
Created at: Feb. 28, 2026, 2:20 a.m.