Triple

T4167179
Position Surface form Disambiguated ID Type / Status
Subject South West E84473 entity
Predicate contains P35 FINISHED
Object Margaret River E12806 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: Margaret River | Statement: [South West, contains, Margaret River]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Margaret River
Context triple: [South West, contains, Margaret River]
  • A. Margaret River chosen
    Margaret River is a renowned wine-producing region in Western Australia, celebrated especially for its premium Chardonnay and other cool-climate varietals.
  • B. Catherine Creek
    Catherine Creek is a central character in Truman Capote’s novella "The Grass Harp," known as an eccentric, independent older woman whose unconventional lifestyle profoundly influences the narrator’s coming-of-age.
  • C. Catherine Creek
    Catherine Creek is a tributary stream in New York’s Finger Lakes region that drains surrounding landscapes into Seneca Lake.
  • D. Yallingup
    Yallingup is a coastal town in Western Australia known for its surf breaks, limestone caves, and proximity to the Margaret River wine region.
  • E. Culaba
    Culaba is a coastal municipality on Biliran Island in the Eastern Visayas region of the Philippines, known for its rural communities and agricultural landscape.
  • 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_69aed932cab48190b80ffe35f7029ae1 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af02c43a7481909eed7cb8c14deb0c completed March 9, 2026, 5:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69b57f4a022c819092b5489aa47f430c completed March 14, 2026, 3:31 p.m.
Created at: March 9, 2026, 3:44 p.m.