Triple

T18111670
Position Surface form Disambiguated ID Type / Status
Subject Land’s End Airport E433490 entity
Predicate near P350 FINISHED
Object Land’s End — 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: Land’s End | Statement: [Land’s End Airport, near, Land’s End]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Land’s End
Context triple: [Land’s End Airport, near, Land’s End]
  • A. Land’s End
    Land’s End is a dramatic rock formation at the southern tip of Mexico’s Baja California Peninsula, known for its towering sea cliffs, natural arch, and views where the Pacific Ocean meets the Sea of Cortez.
  • B. Land’s End
    Land’s End is a rugged coastal park in San Francisco known for its cliffside trails, dramatic ocean views, and vistas of the Golden Gate Bridge.
  • C. Land's End chosen
    Land's End is a famous headland and popular tourist destination marking the westernmost point of mainland England in Cornwall.
  • D. Tuross Head
    Tuross Head is a coastal village on the South Coast of New South Wales, Australia, known for its beaches, lakes, and holiday atmosphere.
  • E. Arthur’s Nose
    Arthur’s Nose is the first book in Marc Brown’s popular children’s series that introduced the character Arthur Read, an aardvark who later became the star of the long-running animated TV show "Arthur."
  • 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddd3422c81908396a21bd53f3e47 completed April 19, 2026, 1:51 p.m.
Created at: April 10, 2026, 10:28 a.m.