Triple

T19613856
Position Surface form Disambiguated ID Type / Status
Subject Bayelsa East Senatorial District E470805 entity
Predicate hasLocalGovernmentArea P8215 FINISHED
Object Brass NE NERFINISHED

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: Brass | Statement: [Bayelsa East Senatorial District, hasLocalGovernmentArea, Brass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brass
Context triple: [Bayelsa East Senatorial District, hasLocalGovernmentArea, Brass]
  • A. Brass chosen
    Brass is a coastal local government area and historic town in Bayelsa State, Nigeria, known for its role in the Niger Delta’s oil and gas activities and its traditional trading heritage.
  • B. Brass
    "Brass" is a British television drama series starring Timothy West, known for its satirical take on class and politics in a Northern English town.
  • C. Copper
    Copper is a webcomic and graphic novel series by Kazu Kibuishi that follows the whimsical, introspective adventures of a boy and his talking dog.
  • D. Copper
    Copper is one of the animal mascots created to represent and promote the 2002 Winter Olympics in Salt Lake City.
  • E. Copper
    Copper is the loyal hound dog who befriends a fox despite their destined roles as hunter and prey in Disney’s animated film "The Fox and the Hound."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e510fa248190b7afb274a1d4cf73 completed April 10, 2026, 11:54 a.m.
NER Named-entity recognition batch_69e640ce272481909688527f72d2c976 completed April 20, 2026, 3:05 p.m.
Created at: April 10, 2026, 1:43 p.m.