Triple

T12266324
Position Surface form Disambiguated ID Type / Status
Subject Power Up E292355 entity
Predicate hasPart P35 FINISHED
Object No Man’s Land E294621 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: No Man’s Land | Statement: [Power Up, hasPart, No Man’s Land]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: No Man’s Land
Context triple: [Power Up, hasPart, No Man’s Land]
  • A. No Man's Land chosen
    No Man's Land is a 1975 play by Harold Pinter that blends memory, ambiguity, and dark humor in a tense encounter between two aging writers.
  • B. No Man's Land
    No Man's Land was an unorganized and sparsely populated region in the late 19th century United States that later became the Oklahoma Panhandle.
  • C. No Man's Land
    No Man's Land is a 2001 Bosnian war drama film directed by Danis Tanović that explores the absurdity and tragedy of the Bosnian War through the story of soldiers trapped between enemy lines.
  • D. Postcards from No Man's Land
    "Postcards from No Man's Land" is a young adult novel by Aidan Chambers that intertwines past and present in a reflective story about identity, memory, and the legacy of World War II.
  • E. News from No Man’s Land
    News from No Man’s Land is a book by BBC foreign correspondent John Simpson, drawing on his frontline reporting to explore global conflicts and political upheavals.
  • 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_69d6ab6856488190b5d31178d5015f8e completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cdc42988190b4e2a6591a6f919d completed April 10, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e65bc00819091e4fee3c3af6f4f completed May 2, 2026, 3:55 p.m.
Created at: April 8, 2026, 9:52 p.m.