Triple

T20025885
Position Surface form Disambiguated ID Type / Status
Subject Bulabog Beach E494979 entity
Predicate nearTo P350 FINISHED
Object White Beach 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: White Beach | Statement: [Bulabog Beach, nearTo, White Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: White Beach
Context triple: [Bulabog Beach, nearTo, White Beach]
  • A. White Beach
    White Beach is a small coastal beach in the town of Manchester-by-the-Sea, Massachusetts, known for its scenic shoreline and tranquil atmosphere.
  • B. White Beach chosen
    White Beach is the famous main stretch of powdery white sand and clear turquoise water on the Philippine island of Boracay, known as one of the world’s top tropical beach destinations.
  • C. White Beach
    White Beach is a small coastal locality in Tasmania, Australia, known for its sandy shoreline and tranquil seaside setting.
  • D. Taga Beach
    Taga Beach is a scenic coastal spot on Rota in the Northern Mariana Islands, known for its white sand, clear waters, and dramatic limestone cliffs.
  • E. Devka Beach
    Devka Beach is a popular seaside destination in the Daman district of India, known for its long sandy shoreline, amusement facilities, and relaxed coastal atmosphere.
  • 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_69da626bfd288190aa5d65098b6433ae completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e6628d5b8c8190a35f95ac4a016550 completed April 20, 2026, 5:29 p.m.
Created at: April 11, 2026, 3:35 p.m.