Triple

T4073785
Position Surface form Disambiguated ID Type / Status
Subject CNN Center E86711 entity
Predicate name P16 FINISHED
Object CNN Center E86711 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: CNN Center | Statement: [CNN Center, name, CNN Center]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CNN Center
Context triple: [CNN Center, name, CNN Center]
  • A. CNN Center chosen
    CNN Center is a large media complex in downtown Atlanta that serves as the former global headquarters and studio hub of the Cable News Network (CNN).
  • B. One Charles Center
    One Charles Center is a modernist office building in downtown Baltimore, Maryland, designed by architect Mies van der Rohe and noted for its glass-and-steel International Style architecture.
  • C. Government Center, Boston
    Government Center in Boston is a major civic and administrative district that includes Boston City Hall and several key government buildings and plazas.
  • D. CBS Headquarters
    CBS Headquarters is the primary corporate office and broadcast center of the CBS television and radio network, located in New York City.
  • E. CBS News
    CBS News is a major American television and digital news division known for producing national and international news programs and journalism for the CBS network.
  • 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_69aed93ebe448190a1f1686e28740ac9 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc245d888190ae773f9c3077953b completed March 9, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562bc05948190a9ad709768420588 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.