Triple

T4167185
Position Surface form Disambiguated ID Type / Status
Subject South West E84473 entity
Predicate contains P35 FINISHED
Object Pemberton E286981 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: Pemberton | Statement: [South West, contains, Pemberton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pemberton
Context triple: [South West, contains, Pemberton]
  • A. Pemberton chosen
    Pemberton is a small timber and tourism town in the forested hinterland of Western Australia's South West, known for its towering karri trees, wineries, and outdoor recreation.
  • B. Brewster
    Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
  • C. Brewster
    Brewster is an English occupational surname historically associated with brewing ale or beer.
  • D. Brewster
    Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
  • E. Brewster
    Brewster is the given name of Brewster Kahle, an American computer engineer and digital librarian best known as the founder of the Internet Archive.
  • 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.