Triple

T20058713
Position Surface form Disambiguated ID Type / Status
Subject Back E499410 entity
Predicate hasBeach P1922 FINISHED
Object Back 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: Back Beach | Statement: [Back, hasBeach, Back Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Back Beach
Context triple: [Back, hasBeach, Back Beach]
  • A. Back Beach
    Back Beach is a popular coastal spot in Geraldton, Western Australia, known for its surf-friendly waves and scenic ocean views.
  • B. Back Beach
    Back Beach is a popular coastal destination in Vung Tau, Vietnam, known for its long sandy shoreline and vibrant seaside tourism activities.
  • C. Back Beach
    Back Beach is a coastal beach area located in or near the town of Woolgoolga in New South Wales, Australia.
  • D. Back Beach
    Back Beach is a popular black-sand surf beach on the west coast of New Plymouth, New Zealand, known for its rugged coastline, strong waves, and views of Paritutu Rock and the Tasman Sea.
  • E. One Mile Beach
    One Mile Beach is a popular surf and swimming beach located near the twin towns of Forster-Tuncurry on the Mid North Coast of New South Wales, Australia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69da6276bcf48190aabbf279192a5fb4 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e66373e0e08190a6d8a10084eecc4d completed April 20, 2026, 5:33 p.m.
Created at: April 11, 2026, 3:38 p.m.