Triple

T14683428
Position Surface form Disambiguated ID Type / Status
Subject Bab al-Qattanin E344844 entity
Predicate adjacentTo P224 FINISHED
Object Cotton Market E344846 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: Cotton Market | Statement: [Bab al-Qattanin, adjacentTo, Cotton Market]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cotton Market
Context triple: [Bab al-Qattanin, adjacentTo, Cotton Market]
  • A. Cotton Market chosen
    Cotton Market is a historic commercial area traditionally associated with the trade and sale of cotton and related goods.
  • B. Cotton
    Cotton is a soft, natural fiber harvested from the seed pods of cotton plants and widely used in textiles and clothing.
  • C. Cotton
    Cotton is a common English surname with historical associations to several notable British families and figures.
  • D. Cottonopolis
    Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
  • E. Report on the Cotton Exchanges
    "Report on the Cotton Exchanges" is an early 20th-century investigative study by the U.S. Bureau of Corporations analyzing the structure, practices, and economic impact of American cotton exchanges.
  • 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_69d822e34b348190ada4d1cdb6c7c226 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb56a51ec8190941684fd562a7182 completed April 14, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf080b7508190ac99b8bb6cfb1881 completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:28 a.m.