Triple

T3273253
Position Surface form Disambiguated ID Type / Status
Subject Terrigal Beach E68698 entity
Predicate near P350 FINISHED
Object Avoca Beach E68327 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: Avoca Beach | Statement: [Terrigal Beach, near, Avoca Beach]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Avoca Beach
Context triple: [Terrigal Beach, near, Avoca Beach]
  • A. Avoca Beach chosen
    Avoca Beach is a popular coastal town and surf beach on the New South Wales Central Coast, known for its scenic shoreline and relaxed holiday atmosphere.
  • B. Nobbys Beach
    Nobbys Beach is a popular surf and swimming beach in Newcastle, New South Wales, known for its long sandy shoreline and views of the iconic Nobbys Head and lighthouse.
  • C. Shelly Beach
    Shelly Beach is a popular coastal beach near Port Macquarie, New South Wales, known for its scenic shoreline and relaxed seaside atmosphere.
  • D. Shelly Beach
    Shelly Beach is a coastal beach area in Caloundra, Queensland, known for its scenic shoreline and relaxed seaside atmosphere.
  • E. Shelly Beach
    Shelly Beach is a coastal resort town on South Africa’s KwaZulu-Natal South Coast, known for its sandy beaches, diving and snorkeling spots, and popular holiday atmosphere.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adaff74af88190809313743b439ff0 completed March 8, 2026, 5:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e83e11f081909d64287c0902124a completed March 12, 2026, 4:22 p.m.
Created at: March 8, 2026, 3:10 p.m.