Triple

T7911437
Position Surface form Disambiguated ID Type / Status
Subject Bell Operating Companies E183707 entity
Predicate alsoKnownAs P39 FINISHED
Object BOCs
BOCs are the regional telephone service providers in the United States that were created from the breakup of the Bell System monopoly in the 1980s.
 E696713 NE FINISHED

How this triple was built (4 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: BOCs | Statement: [Bell Operating Companies, alsoKnownAs, BOCs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BOCs
Context triple: [Bell Operating Companies, alsoKnownAs, BOCs]
  • A. BOIC
    BOIC is the French and Dutch abbreviation for the Belgian Olympic and Interfederal Committee, the National Olympic Committee responsible for organizing Belgium’s participation in the Olympic Games and promoting the Olympic movement in the country.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BDO
    BDO is the IATA station code for Bandung Railway Station, a major rail transport hub in Bandung, Indonesia.
  • D. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • E. BOK
    BOK is the station code for Berlin Ostkreuz, a major railway interchange in Berlin, Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: BOCs
Triple: [Bell Operating Companies, alsoKnownAs, BOCs]
Generated description
BOCs are the regional telephone service providers in the United States that were created from the breakup of the Bell System monopoly in the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BOCs
Target entity description: BOCs are the regional telephone service providers in the United States that were created from the breakup of the Bell System monopoly in the 1980s.
  • A. BOIC
    BOIC is the French and Dutch abbreviation for the Belgian Olympic and Interfederal Committee, the National Olympic Committee responsible for organizing Belgium’s participation in the Olympic Games and promoting the Olympic movement in the country.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BDO
    BDO is the IATA station code for Bandung Railway Station, a major rail transport hub in Bandung, Indonesia.
  • D. BOK
    BOK is the station code for Berlin Ostkreuz, a major railway interchange in Berlin, Germany.
  • E. BOK
    BOK is the commonly used abbreviation for the Bank of Korea, South Korea’s central bank responsible for monetary policy and financial stability.
  • F. None of above. chosen

Provenance (5 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_69ca828dec0c81908b8f55a4dbbb53ff completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3a725b8c8190a530adb3107a95dd completed March 31, 2026, 3:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5bdaf91c8190b31c5e539bdf049f completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb5f20eb3c81909e059d5a02263aa2 completed March 31, 2026, 5:44 a.m.
NED2 Entity disambiguation (via description) batch_69cb76aede388190a56e066c3302c35e completed March 31, 2026, 7:24 a.m.
Created at: March 30, 2026, 5:04 p.m.