Triple

T7937982
Position Surface form Disambiguated ID Type / Status
Subject OpenStack E184327 entity
Predicate notableUser P4829 FINISHED
Object AT&T E89783 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: AT&T | Statement: [OpenStack, notableUser, AT&T]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AT&T
Context triple: [OpenStack, notableUser, AT&T]
  • A. AT&T chosen
    AT&T is a major American telecommunications conglomerate known for providing wireless, internet, and media services nationwide.
  • B. Verizon
    Verizon is a major American telecommunications company providing wireless, internet, and related communication services across the United States and globally.
  • C. Bell Atlantic
    Bell Atlantic was a major U.S. telecommunications company formed after the breakup of AT&T, which later merged with GTE to become Verizon Communications.
  • D. Ameritech
    Ameritech was a regional telecommunications company formed after the breakup of AT&T’s Bell System, serving the Midwestern United States with local and long-distance phone services.
  • E. Alltel
    Alltel was a major American wireless telecommunications company that provided mobile phone services across numerous U.S. states before being largely acquired by Verizon Wireless.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aef2394819086eea1f6ab117aed completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd672cb3288190af4f951e65e8d67e completed April 1, 2026, 6:42 p.m.
Created at: March 30, 2026, 5:08 p.m.