Triple

T7118941
Position Surface form Disambiguated ID Type / Status
Subject Oak Collection E165896 entity
Predicate name P16 FINISHED
Object Oak Collection E165896 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: Oak Collection | Statement: [Oak Collection, name, Oak Collection]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oak Collection
Context triple: [Oak Collection, name, Oak Collection]
  • A. Oak Collection chosen
    Oak Collection is a curated assemblage of diverse oak tree species displayed within the Royal Botanic Gardens Victoria in Melbourne.
  • B. Lenswood
    Lenswood is a small rural town in South Australia's Adelaide Hills region, known for its cool-climate orchards and scenic vineyards.
  • C. Stickley
    Stickley is a surname most prominently associated with Gustav Stickley, an influential American furniture maker and leading figure in the Arts and Crafts movement.
  • D. Bridgewater Collection
    The Bridgewater Collection is a historically significant private art collection renowned for its masterpieces by Old Masters, once considered one of the finest in Britain.
  • E. Pop & Oak
    Pop & Oak is an American songwriting and production duo known for crafting contemporary R&B and pop hits for artists such as Miguel, Nicki Minaj, and Alessia Cara.
  • 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_69c6888227bc8190a1394679e3116f90 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e61b8a288190a165ea25adfaaef5 completed March 27, 2026, 8:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79cc2bf2081908e912f26f29394bf completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:43 p.m.