Triple

T12972806
Position Surface form Disambiguated ID Type / Status
Subject Beaufortain Massif E321444 entity
Predicate namedAfter P63 FINISHED
Object Beaufort E326908 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: Beaufort | Statement: [Beaufortain Massif, namedAfter, Beaufort]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Beaufort
Context triple: [Beaufortain Massif, namedAfter, Beaufort]
  • A. Beaufort
    Beaufort is a small town and administrative district in the southwestern part of Sabah, Malaysia, known for its railway connection and proximity to wetlands and riverine landscapes.
  • B. Beaufort chosen
    Beaufort is a firm, raw cow’s milk Alpine cheese from France renowned for its smooth texture and complex, nutty flavor.
  • C. Beaufort
    Beaufort is a character in Frances Burney’s satirical play "The Witlings," which critiques the pretensions and follies of fashionable 18th-century society.
  • D. Beaufort
    Beaufort is an English noble family name historically associated with a prominent cadet branch of the House of Lancaster in medieval England.
  • E. Beaufort, South Carolina
    Beaufort, South Carolina is a historic coastal city known for its well-preserved antebellum architecture, scenic waterfront, and role as a cultural center of the South Carolina Lowcountry.
  • 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_69d80763bd6c819094437da5b20b01d2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e418d548190be1c73db76cb3aa8 completed April 10, 2026, 10:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8ea91f08190b1daf6d05621acf9 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:36 p.m.