Triple

T4529027
Position Surface form Disambiguated ID Type / Status
Subject Flybe E106248 entity
Predicate foundedBy P104 FINISHED
Object Walkersteel
Walkersteel is a British steel company historically associated with industrial manufacturing and business interests in the UK.
 E449320 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: Walkersteel | Statement: [Flybe, foundedBy, Walkersteel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Walkersteel
Context triple: [Flybe, foundedBy, Walkersteel]
  • A. Steelman
    Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
  • B. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • C. SteelHawk
    SteelHawk is a high-thrill spinning swing ride that lifts riders high into the air, offering expansive views and a sensation of flying.
  • D. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • E. Stahl
    Stahl is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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: Walkersteel
Triple: [Flybe, foundedBy, Walkersteel]
Generated description
Walkersteel is a British steel company historically associated with industrial manufacturing and business interests in the UK.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Walkersteel
Target entity description: Walkersteel is a British steel company historically associated with industrial manufacturing and business interests in the UK.
  • A. Steelman
    Steelman is a surname of English origin borne by various notable individuals, including American economist and presidential advisor John R. Steelman.
  • B. The Iron
    The Iron is the English title of Surah Al-Hadid, the 57th chapter of the Qur’an, which emphasizes faith, charity, and the transient nature of worldly life.
  • C. SteelHawk
    SteelHawk is a high-thrill spinning swing ride that lifts riders high into the air, offering expansive views and a sensation of flying.
  • D. Hoyte
    Hoyte is the first name of Hoyte van Hoytema, a renowned Dutch-Swedish cinematographer known for his work on major films such as "Interstellar" and "Dunkirk."
  • E. Stahl
    Stahl is a surname of German origin borne by various notable individuals across fields such as sports, politics, and the arts.
  • 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_69bd43f3d6e08190a91824f833d51bbe completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd5779593081908593537b9239e01b completed March 20, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69bda45eadd0819093429e14c88a161d completed March 20, 2026, 7:47 p.m.
NEDg Description generation batch_69bda4e4f5a081908892c4363b3a4989 completed March 20, 2026, 7:49 p.m.
NED2 Entity disambiguation (via description) batch_69bda556d4188190a00d6e6259139c10 completed March 20, 2026, 7:51 p.m.
Created at: March 20, 2026, 1:03 p.m.