Triple

T17758268
Position Surface form Disambiguated ID Type / Status
Subject FCC Form 472 E443301 entity
Predicate alsoKnownAs P39 FINISHED
Object BEAR Form
The BEAR Form is an FCC document used by schools and libraries to request reimbursement for discounts on eligible telecommunications and internet services under the E‑Rate program.
 E1287295 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: BEAR Form | Statement: [FCC Form 472, alsoKnownAs, BEAR Form]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BEAR Form
Context triple: [FCC Form 472, alsoKnownAs, BEAR Form]
  • A. BEAR Scotland
    BEAR Scotland is a road maintenance and management company responsible for operating and maintaining key trunk roads and major bridges in Scotland.
  • B. bear
    A bear is a large, typically omnivorous mammal known for its powerful build, thick fur, and presence in diverse habitats across the Northern Hemisphere and parts of the Southern Hemisphere.
  • C. Baer
    Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
  • D. BEP
    BEP is the National Rail station code for Bermuda Park railway station in England.
  • E. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • 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: BEAR Form
Triple: [FCC Form 472, alsoKnownAs, BEAR Form]
Generated description
The BEAR Form is an FCC document used by schools and libraries to request reimbursement for discounts on eligible telecommunications and internet services under the E‑Rate program.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BEAR Form
Target entity description: The BEAR Form is an FCC document used by schools and libraries to request reimbursement for discounts on eligible telecommunications and internet services under the E‑Rate program.
  • A. BEAR Scotland
    BEAR Scotland is a road maintenance and management company responsible for operating and maintaining key trunk roads and major bridges in Scotland.
  • B. bear
    A bear is a large, typically omnivorous mammal known for its powerful build, thick fur, and presence in diverse habitats across the Northern Hemisphere and parts of the Southern Hemisphere.
  • C. Baer
    Baer is a surname most notably associated with American actor and boxer Max Baer Sr.
  • D. BEP
    BEP is the National Rail station code for Bermuda Park railway station in England.
  • E. BEP
    BEP is a United States government agency responsible for designing and producing paper currency and other secure documents.
  • 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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e4841fe97881908f4df503fb781763 completed April 19, 2026, 7:28 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02efb8d5288190802b6329fd13d5a9 completed May 12, 2026, 9:15 a.m.
NEDg Description generation batch_6a02f113a41c8190b17611eaa50516ca completed May 12, 2026, 9:21 a.m.
NED2 Entity disambiguation (via description) batch_6a02f1e980f4819087eb191e13396581 completed May 12, 2026, 9:24 a.m.
Created at: April 10, 2026, 10:10 a.m.