Triple

T21727624
Position Surface form Disambiguated ID Type / Status
Subject Bethel Park High School E536313 entity
Predicate mascot P52 FINISHED
Object Black Hawk 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: Black Hawk | Statement: [Bethel Park High School, mascot, Black Hawk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Black Hawk
Context triple: [Bethel Park High School, mascot, Black Hawk]
  • A. Black Hawk
    Black Hawk was a named passenger train that provided overnight service between Chicago and the Twin Cities, operated by the Chicago, Burlington and Quincy Railroad.
  • B. Black Hawk chosen
    Black Hawk was a prominent Sauk leader who resisted United States expansion into Native American lands during the early 19th century.
  • C. Osceola
    Osceola was a prominent Seminole leader in the 19th century who became a symbol of Native American resistance to U.S. removal policies during the Second Seminole War.
  • D. Osceola
    Osceola is a small rural community located within the Whitewater Region of eastern Ontario, Canada.
  • E. Osceola
    Osceola is a pseudonym used by Danish author Karen Blixen, best known for her memoir "Out of Africa" and her short stories.
  • 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_69e0c46d3284819099a4f9d5a704eb95 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69effd03c6ec8190a2f0445c1f3a45b4 completed April 28, 2026, 12:19 a.m.
Created at: April 16, 2026, 6:48 p.m.