Triple

T20921177
Position Surface form Disambiguated ID Type / Status
Subject The Nat E515211 entity
Predicate shortName P43 FINISHED
Object The Nat 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: The Nat | Statement: [The Nat, shortName, The Nat]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Nat
Context triple: [The Nat, shortName, The Nat]
  • A. The Nat chosen
    The Nat is a science and natural history museum in San Diego, California, known for its exhibits on the region’s biodiversity, geology, and paleontology.
  • B. La Nati
    La Nati is the popular nickname for Switzerland’s men’s national ice hockey team, a prominent European side known for its disciplined play and passionate fan base.
  • C. The Pike
    The Pike was a historic seaside amusement zone in Long Beach, California, known for its roller coasters, arcades, and waterfront attractions during the early to mid-20th century.
  • D. Der Man fun Natseres
    Der Man fun Natseres is the original Yiddish title of Sholem Asch’s controversial early 20th-century novel about the life and teachings of Jesus of Nazareth.
  • E. The Ave
    The Ave is the popular nickname for University Way NE, the central commercial and social hub of Seattle’s University District near the University of Washington.
  • 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_69e0b4f9d5ec8190bb2bd27350ed341c completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f64e56bc81908aa86f2176fcc0db completed April 21, 2026, 4 a.m.
Created at: April 16, 2026, 12:48 p.m.