Triple

T19179413
Position Surface form Disambiguated ID Type / Status
Subject Bronze Summer E469530 entity
Predicate partOf P40 FINISHED
Object Northland trilogy 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: Northland trilogy | Statement: [Bronze Summer, partOf, Northland trilogy]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Northland trilogy
Context triple: [Bronze Summer, partOf, Northland trilogy]
  • A. Northland trilogy chosen
    The Northland trilogy is a series of alternate-history novels by Stephen Baxter that reimagine prehistoric Europe and the development of early civilization.
  • B. Aran Islands trilogy
    The Aran Islands trilogy is a series of three darkly comic plays by Martin McDonagh set on Ireland’s remote Aran Islands, exploring violence, isolation, and eccentric rural life.
  • C. Te Ara a Kiwa
    Te Ara a Kiwa is the Māori name for Foveaux Strait, the body of water separating New Zealand’s South Island from Stewart Island/Rakiura.
  • D. Far North
    Far North is a 2007 psychological drama film set in the Arctic, directed by Asif Kapadia and starring Michelle Yeoh and Sean Bean.
  • E. Far North
    Far North is a remote, sparsely populated Arctic region characterized by extreme cold, long winters, and unique northern landscapes and ecosystems.
  • 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_69d8dd09d5a081909ae43c286651ae5a completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5f61ae4108190b3715261cac2dd86 completed April 20, 2026, 9:47 a.m.
Created at: April 10, 2026, 12:07 p.m.