Triple

T10262187
Position Surface form Disambiguated ID Type / Status
Subject Diplo E240624 entity
Predicate associatedAct P37 FINISHED
Object Silk City E601628 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: Silk City | Statement: [Diplo, associatedAct, Silk City]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Silk City
Context triple: [Diplo, associatedAct, Silk City]
  • A. Silk City chosen
    Silk City is a dance music duo and production project formed by DJs Diplo and Mark Ronson, known for their house-influenced tracks and high-profile collaborations.
  • B. Silk City
    Silk City is a popular nickname for Bhagalpur, an Indian city renowned for its historic silk industry and production of high-quality Tussar silk.
  • C. Silk City
    Silk City is a historic nickname for Paterson, New Jersey, reflecting its past prominence as a major center of silk production in the United States.
  • D. Silk City
    Silk City is a popular nickname for Rajshahi, a major city in western Bangladesh historically renowned for its silk industry and fine silk products.
  • E. Spindle City
    Spindle City is a historic industrial nickname for Lowell, Massachusetts, reflecting its prominence as a major 19th-century textile manufacturing center.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d25c8dec8190af9160d9338ffc9c completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d74ff95bd08190975bc98c681caf07 completed April 9, 2026, 7:06 a.m.
Created at: April 6, 2026, 11:32 a.m.