Triple

T8017864
Position Surface form Disambiguated ID Type / Status
Subject Märklin E186664 entity
Predicate hasSubsidiaryBrand P25079 FINISHED
Object Trix
Trix is a historic German model railway brand known for its detailed HO and N scale trains and accessories.
E707656 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: Trix | Statement: [Märklin, hasSubsidiaryBrand, Trix]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trix
Context triple: [Märklin, hasSubsidiaryBrand, Trix]
  • A. Trix
    Trix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football tournament.
  • B. Candy
    "Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
  • C. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • D. Candy
    "Candy" is a song by the band Broken Silence.
  • E. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • 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: Trix
Triple: [Märklin, hasSubsidiaryBrand, Trix]
Generated description
Trix is a historic German model railway brand known for its detailed HO and N scale trains and accessories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Trix
Target entity description: Trix is a historic German model railway brand known for its detailed HO and N scale trains and accessories.
  • A. Trix
    Trix is one of the official cartoon mascots created to represent and promote the UEFA Euro 2008 football tournament.
  • B. Candy
    "Candy" is a 2012 pop single by British singer Robbie Williams, known for its catchy, upbeat melody and chart-topping success in several countries.
  • C. Candy
    Candy is a common English surname shared by various individuals, including the late Canadian actor and comedian John Candy.
  • D. Candy
    "Candy" is a song by the band Broken Silence.
  • E. Candy
    "Candy" is a 1968 satirical comedy film, loosely based on Voltaire’s "Candide," known for its psychedelic style and ensemble cast including Anita Pallenberg, Marlon Brando, and Ringo Starr.
  • 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_69ca82ac7fc081909b1398cf025423af completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3df4f1b8819089a8b67f136bce9a completed March 31, 2026, 3:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc56c213ec8190b3bd96c42d1357e4 completed March 31, 2026, 11:20 p.m.
NEDg Description generation batch_69cc58a9e94081908980e2c60be38642 completed March 31, 2026, 11:28 p.m.
NED2 Entity disambiguation (via description) batch_69cc5cbaefb481909eb325f0d27675c0 completed March 31, 2026, 11:46 p.m.
Created at: March 30, 2026, 5:20 p.m.