Triple

T15513925
Position Surface form Disambiguated ID Type / Status
Subject Heart of America 200 E368782 entity
Predicate hasNameComponent P24447 FINISHED
Object Heart of America E3092 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: Heart of America | Statement: [Heart of America 200, hasNameComponent, Heart of America]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heart of America
Context triple: [Heart of America 200, hasNameComponent, Heart of America]
  • A. Heart of America chosen
    Heart of America is a nickname for Kansas City, Missouri, highlighting its central location and cultural significance in the United States.
  • B. Mayo
    Mayo is an Australian federal electoral division in South Australia, encompassing a mix of Adelaide Hills communities and regional areas.
  • C. Mayo
    Mayo is a given name most notably associated with American musician and visual artist Mayo Thompson, leader of the experimental rock band Red Krayola.
  • D. Mayo
    The Mayo are an Indigenous people of northwestern Mexico, primarily inhabiting the state of Sonora and known for their rich agricultural traditions and ceremonial dances.
  • E. Mayo
    Mayo is a surname most prominently associated with the American medical family that co-founded the Mayo Clinic.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04031e62c8190953b61207142af15 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4edee481908382ca5cd266f7b0 completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 4:02 a.m.