Triple

T19907549
Position Surface form Disambiguated ID Type / Status
Subject Pacific Bell E478457 entity
Predicate formerParentCompany P5815 FINISHED
Object Pacific Telesis Group 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: Pacific Telesis Group | Statement: [Pacific Bell, formerParentCompany, Pacific Telesis Group]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pacific Telesis Group
Context triple: [Pacific Bell, formerParentCompany, Pacific Telesis Group]
  • A. Pacific Telesis chosen
    Pacific Telesis was a regional telecommunications company formed after the breakup of AT&T, serving as one of the Baby Bells providing local telephone and related services in the western United States.
  • B. Island Telecom
    Island Telecom was a regional telecommunications provider serving Prince Edward Island, Canada, before being absorbed into larger Atlantic Canadian telecom operations.
  • C. Globe Telecom
    Globe Telecom is a major Philippine telecommunications company that provides mobile, internet, and other digital communication services nationwide.
  • D. Telkom
    Telkom is a major South African telecommunications company that provides fixed-line, mobile, and data services across the country.
  • E. Megacom
    Megacom is a leading telecommunications company in Kyrgyzstan that provides widespread mobile and internet services across the country.
  • 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_69d8e520682081909892916424699bd5 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6598cc5108190bca2a47c9f8ef70f completed April 20, 2026, 4:51 p.m.
Created at: April 10, 2026, 1:52 p.m.