Triple

T5560011
Position Surface form Disambiguated ID Type / Status
Subject Advanced Passenger Train E145741 entity
Predicate hasVariant P455 FINISHED
Object APT-P
APT-P was the prototype version of British Rail's Advanced Passenger Train, an experimental high-speed tilting train developed in the 1970s–80s.
 E532313 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: APT-P | Statement: [Advanced Passenger Train, hasVariant, APT-P]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: APT-P
Context triple: [Advanced Passenger Train, hasVariant, APT-P]
  • A. APT-E
    APT-E was an experimental British tilting high-speed train prototype developed in the 1970s to test advanced technologies for the Advanced Passenger Train program.
  • B. APT
    APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
  • C. Apt
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • D. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • E. APG
    APG is the commonly used abbreviation for the Asian Para Games, a major multi-sport event for athletes with disabilities from across Asia.
  • 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: APT-P
Triple: [Advanced Passenger Train, hasVariant, APT-P]
Generated description
APT-P was the prototype version of British Rail's Advanced Passenger Train, an experimental high-speed tilting train developed in the 1970s–80s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: APT-P
Target entity description: APT-P was the prototype version of British Rail's Advanced Passenger Train, an experimental high-speed tilting train developed in the 1970s–80s.
  • A. APT-E chosen
    APT-E was an experimental British tilting high-speed train prototype developed in the 1970s to test advanced technologies for the Advanced Passenger Train program.
  • B. APT
    APT is a widely used command-line package management tool for installing, updating, and removing software on Debian-based Linux systems.
  • C. Apt
    Apt is a historic market town in southeastern France’s Vaucluse department, known for its candied fruit production and Provençal charm.
  • D. AAPT
    AAPT is a professional organization dedicated to advancing the teaching and learning of physics at all educational levels.
  • E. APG
    APG is the commonly used abbreviation for the Asian Para Games, a major multi-sport event for athletes with disabilities from across Asia.
  • F. None of above.

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_69c008fcaf788190bafa02a1917ee73b completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c020167afc8190b0c518907cd0d99b completed March 22, 2026, 5 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d0681b08190b42f3812ce8a8e45 completed March 22, 2026, 8:11 p.m.
NEDg Description generation batch_69c04e868cc48190bdb245ba52b9b938 completed March 22, 2026, 8:18 p.m.
NED2 Entity disambiguation (via description) batch_69c04f0de68c8190817b525f2d8ef327 completed March 22, 2026, 8:20 p.m.
Created at: March 22, 2026, 3:36 p.m.