Triple

T13280562
Position Surface form Disambiguated ID Type / Status
Subject Earlestown E316308 entity
Predicate hasHistoricalIndustry P3008 FINISHED
Object Vulcan Foundry E892891 NE FINISHED

How this triple was built (2 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: Vulcan Foundry | Statement: [Earlestown, hasHistoricalIndustry, Vulcan Foundry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Vulcan Foundry
Context triple: [Earlestown, hasHistoricalIndustry, Vulcan Foundry]
  • A. Vulcan Foundry chosen
    Vulcan Foundry was a prominent British locomotive manufacturer known for producing steam, diesel, and electric engines for railways in the UK and abroad.
  • B. Vulcan Inc.
    Vulcan Inc. is a private company founded by Microsoft co-founder Paul Allen that manages his business, real estate, sports, and philanthropic ventures.
  • C. Arcalod
    Arcalod is a prominent mountain peak in the French Alps, known for its rugged limestone cliffs and popularity among experienced hikers and climbers.
  • D. Cybus Industries
    Cybus Industries is a powerful fictional technology conglomerate in the Doctor Who universe, best known for creating an alternate-universe version of the Cybermen.
  • E. Arcore
    Arcore is a small town in the Lombardy region of northern Italy, known for its historic villas and proximity to Milan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d806b349908190a9a61dd9323bf153 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9904507588190a303686d176ec3e1 completed April 11, 2026, 12:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a56fa048190b32dcef31b978d9c completed May 3, 2026, 8:41 a.m.
Created at: April 9, 2026, 9:27 p.m.