Triple

T17506695
Position Surface form Disambiguated ID Type / Status
Subject The Brass City E426335 entity
Predicate hasPartOfName P5298 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: [The Brass City, hasPartOfName, Brass]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brass
Context triple: [The Brass City, hasPartOfName, 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 supporting character in John Carpenter's 1982 horror film "The Thing," serving as the camp doctor alongside R.J. MacReady at the Antarctic research station.
  • 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 a period crime drama television series set in 19th-century New York City, created by Tom Fontana and others.
  • 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_69d889dd9164819087b1dc3c9240c870 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e45258b73c81909db581d4f1d27921 completed April 19, 2026, 3:56 a.m.
Created at: April 10, 2026, 5:48 a.m.