Triple

T5251150
Position Surface form Disambiguated ID Type / Status
Subject Derby City E118589 entity
Predicate alsoKnownAs P39 FINISHED
Object Derby City, USA E118589 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: Derby City, USA | Statement: [Derby City, alsoKnownAs, Derby City, USA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby City, USA
Context triple: [Derby City, alsoKnownAs, Derby City, USA]
  • A. Derby and Jackson
    Derby and Jackson was a 19th-century American publishing firm known for issuing literary and religious works.
  • B. Union City
    Union City is a suburban city in Fulton County, Georgia, that forms part of the greater Atlanta metropolitan area.
  • C. Union City
    Union City is a suburban city in California’s San Francisco Bay Area, known for its diverse population and location between Oakland and San Jose.
  • D. Derby City chosen
    Derby City is a popular nickname for Louisville, Kentucky, reflecting the city's fame as home of the Kentucky Derby horse race.
  • E. Granite City
    Granite City is a common nickname for Aberdeen, a Scottish port city famed for its extensive use of locally quarried grey granite in its architecture.
  • 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_69bd446978108190bb5f9c5c23d93f88 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd7b7b840881908bb1ecb8a0047382 completed March 20, 2026, 4:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69befe7005308190a659efbd779c314b completed March 21, 2026, 8:24 p.m.
Created at: March 20, 2026, 1:50 p.m.