Triple

T18726698
Position Surface form Disambiguated ID Type / Status
Subject Barb City E457917 entity
Predicate hasAlternativeName P39 FINISHED
Object DeKalb NE NERFINISHED

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: DeKalb | Statement: [Barb City, hasAlternativeName, DeKalb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: DeKalb
Context triple: [Barb City, hasAlternativeName, DeKalb]
  • A. DeKalb chosen
    DeKalb is a city in northern Illinois known for hosting Northern Illinois University and having historical ties to agriculture and barbed wire manufacturing.
  • B. Schaumburg
    Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
  • C. Woodridge
    Woodridge is a residential neighborhood in Northeast Washington, D.C., known for its tree-lined streets and proximity to the Brookland area.
  • D. Woodridge
    Woodridge is a residential suburb within Logan City in Queensland, Australia, known for its cultural diversity and proximity to Brisbane.
  • E. Nashoba Valley
    Nashoba Valley is a region in north-central Massachusetts known for its rolling hills, outdoor recreation areas, and small New England towns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d393ba9c8190a8b03b04ddbb0a09 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e56d74bd9881908cd314e68327c402 completed April 20, 2026, 12:04 a.m.
Created at: April 10, 2026, 11:50 a.m.