Triple

T17989524
Position Surface form Disambiguated ID Type / Status
Subject Point Vernon E430329 entity
Predicate adjacentTo P224 FINISHED
Object Pialba 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: Pialba | Statement: [Point Vernon, adjacentTo, Pialba]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pialba
Context triple: [Point Vernon, adjacentTo, Pialba]
  • A. Pialba chosen
    Pialba is a coastal suburb and commercial hub of Hervey Bay in Queensland, Australia, known for its beaches and role as a gateway to Fraser Island.
  • B. Pialligo
    Pialligo is a suburb of Canberra in the Australian Capital Territory, known for its rural character, nurseries, and proximity to Canberra Airport.
  • C. Pileni
    Pileni is a small Polynesian outlier island community in the Solomon Islands, known for its Polynesian culture and language despite being located within Melanesia.
  • D. Pias
    Pias is a civil parish located in the municipality of Serpa in Portugal’s Alentejo region.
  • E. Pukanec
    Pukanec is a historic village and former mining town in central Slovakia known for its past silver and gold extraction.
  • 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_69d8b90364248190a37381adea932f42 completed April 10, 2026, 8:46 a.m.
NER Named-entity recognition batch_69e4b29e47a88190be58b79c73d3e652 completed April 19, 2026, 10:46 a.m.
Created at: April 10, 2026, 10:23 a.m.