Triple

T12684210
Position Surface form Disambiguated ID Type / Status
Subject Wichita metropolitan area E303024 entity
Predicate containsCity P294 FINISHED
Object Derby, Kansas E944050 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, Kansas | Statement: [Wichita metropolitan area, containsCity, Derby, Kansas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Derby, Kansas
Context triple: [Wichita metropolitan area, containsCity, Derby, Kansas]
  • A. Derby, Kansas chosen
    Derby, Kansas is a suburban city in south-central Kansas known as one of the largest and fastest-growing communities in the Wichita metropolitan area.
  • B. Newton, Kansas
    Newton, Kansas is a small city in south-central Kansas known historically as a railroad hub and gateway to the American West.
  • C. Peabody, Kansas
    Peabody, Kansas is a small historic city in central Kansas known for its 19th-century architecture and annual Independence Day celebrations.
  • D. Wellington, Kansas
    Wellington, Kansas is a small city in south-central Kansas known historically as a regional agricultural and railroad hub.
  • E. Durham, Kansas
    Durham, Kansas is a small rural city located in central Kansas within Marion County.
  • 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_69d7bdee64a08190801c6d470aefd723 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961d68358819095bdaab8adf1dcf0 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72658fa6c81909b9785d710c418e0 completed May 3, 2026, 10:41 a.m.
Created at: April 9, 2026, 5:21 p.m.