Triple

T16732147
Position Surface form Disambiguated ID Type / Status
Subject Baby Bells E406617 entity
Predicate hasPart P35 FINISHED
Object NYNEX E180265 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: NYNEX | Statement: [Baby Bells, hasPart, NYNEX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: NYNEX
Context triple: [Baby Bells, hasPart, NYNEX]
  • A. NYNEX chosen
    NYNEX was a regional Bell operating company that provided telecommunications services in the northeastern United States following the breakup of AT&T.
  • B. Southwestern Bell
    Southwestern Bell was a major regional telephone company in the United States that later became part of AT&T through mergers and rebranding.
  • 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. Pacific Bell
    Pacific Bell was a major regional telephone company in the western United States, best known as a former Baby Bell providing local and long-distance telecommunications services.
  • 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_69d8838f242881908abd8bc138795886 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c362bb88190921fab43d76c3ee8 completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4a94688190aabe56c34e8cc2c3 completed May 10, 2026, 2:59 p.m.
Created at: April 10, 2026, 5:20 a.m.