Triple

T14105909
Position Surface form Disambiguated ID Type / Status
Subject TFX E339503 entity
Predicate formerName P65 FINISHED
Object NT1
NT1 is the former name of TFX, a company that has since rebranded under its current title.
 E1080999 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: NT1 | Statement: [TFX, formerName, NT1]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NT1
Context triple: [TFX, formerName, NT1]
  • A. NTI
    NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
  • B. NTAS
    NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
  • C. NTF
    NTF is a high-speed wind tunnel facility operated by NASA for advanced aerodynamic testing at transonic speeds.
  • D. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • E. NTLs
    NTLs are formal regulatory documents issued to inform lessees and operators of updated requirements, guidelines, or procedures governing their activities.
  • 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: NT1
Triple: [TFX, formerName, NT1]
Generated description
NT1 is the former name of TFX, a company that has since rebranded under its current title.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NT1
Target entity description: NT1 is the former name of TFX, a company that has since rebranded under its current title.
  • A. NTI
    NTI is a specialized automotive and motorsports technical training school associated with NASCAR, offering programs in automotive technology, high-performance engines, and related fields.
  • B. NTAS
    NTAS is the U.S. Department of Homeland Security’s public alert system that communicates current terrorism threat levels and related security information.
  • C. NTF
    NTF is a high-speed wind tunnel facility operated by NASA for advanced aerodynamic testing at transonic speeds.
  • D. NTL
    NTL was a major UK cable television and telecommunications company that became part of Virgin Media following a series of mergers and rebrandings.
  • E. NTLs
    NTLs are formal regulatory documents issued to inform lessees and operators of updated requirements, guidelines, or procedures governing their activities.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b48e448190b4fb8cb33e5d97e6 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd288bd5881908f6a442201c5beea completed May 7, 2026, 5:57 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3ad7be8819094fc71c9f44fb4cb completed May 7, 2026, 6:02 p.m.
Created at: April 9, 2026, 10:22 p.m.