Triple

T820556
Position Surface form Disambiguated ID Type / Status
Subject Alabama E17742 entity
Predicate containsCity P294 FINISHED
Object Bessemer
Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
 E100354 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: Bessemer | Statement: [Alabama, containsCity, Bessemer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bessemer
Context triple: [Alabama, containsCity, Bessemer]
  • A. Bessemer
    Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
  • B. Youngstown
    Youngstown is an industrial city in northeastern Ohio historically known for its steel production and central role in the Rust Belt’s economic rise and decline.
  • C. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • D. Wyandotte
    Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
  • E. Mill City
    Mill City is a historic nickname for Minneapolis, reflecting its past prominence as a major flour-milling and industrial center along the Mississippi River.
  • 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: Bessemer
Triple: [Alabama, containsCity, Bessemer]
Generated description
Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bessemer
Target entity description: Bessemer is an industrial city in Jefferson County, Alabama, historically known for its steelmaking and manufacturing.
  • A. Bessemer
    Bessemer is a surname most notably associated with Sir Henry Bessemer, the English inventor who revolutionized steel production in the 19th century.
  • B. Youngstown
    Youngstown is an industrial city in northeastern Ohio historically known for its steel production and central role in the Rust Belt’s economic rise and decline.
  • C. Avondale
    Avondale is a well-known residential and commercial suburb of Harare, Zimbabwe, noted for its shopping centers and relatively affluent character.
  • D. Wyandotte
    Wyandotte is a popular American dual-purpose chicken breed valued for its good egg production, meat quality, and attractive laced plumage.
  • E. Mill City
    Mill City is a historic nickname for Minneapolis, reflecting its past prominence as a major flour-milling and industrial center along the Mississippi River.
  • 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_69a4937bcaac8190a322524ac6f45a5a completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab6698d881908d8c5d91259f97ec completed March 1, 2026, 9:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7928f8a808190aaf5f2a2f3ee676f completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7976b7334819082bb9f40601c1092 completed March 4, 2026, 2:22 a.m.
NED2 Entity disambiguation (via description) batch_69a79b206a5481908591ee9e1d6b3fdd completed March 4, 2026, 2:38 a.m.
Created at: March 1, 2026, 7:38 p.m.