Triple

T16154708
Position Surface form Disambiguated ID Type / Status
Subject Ruifang District E392007 entity
Predicate touristAttraction P530 FINISHED
Object Bitou Cape E376105 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: Bitou Cape | Statement: [Ruifang District, touristAttraction, Bitou Cape]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitou Cape
Context triple: [Ruifang District, touristAttraction, Bitou Cape]
  • A. Bitou Cape chosen
    Bitou Cape is a scenic coastal headland in northeastern Taiwan known for its dramatic sea cliffs, hiking trails, and panoramic ocean views.
  • B. Green Cape
    Green Cape is the English translation of "Cap-Vert," the westernmost point of the African mainland located on the Atlantic coast of Senegal.
  • C. Green Cape
    Green Cape is a coastal locality in New South Wales, Australia, known for its prominent headland and historic lighthouse overlooking the Tasman Sea.
  • D. Green Cape
    Green Cape is a scenic coastal area near Batumi, Georgia, known for its lush subtropical landscape and panoramic views of the Black Sea.
  • E. Cape Point
    Cape Point is a dramatic promontory at the southeastern tip of the Cape Peninsula in South Africa, known for its rugged cliffs, rich biodiversity, and historic lighthouse overlooking the meeting of ocean currents.
  • 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_69d87f1c65e48190aa2b4c472e9bafc4 completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e21e5902a08190ad8694955ef6073a completed April 17, 2026, 11:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69fff7ae46dc81908cba9152a6080c3a completed May 10, 2026, 3:12 a.m.
Created at: April 10, 2026, 5:01 a.m.