Triple

T8438097
Position Surface form Disambiguated ID Type / Status
Subject Union Pacific West Line E199279 entity
Predicate endPoint P390 FINISHED
Object Elburn E267885 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: Elburn | Statement: [Union Pacific West Line, endPoint, Elburn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elburn
Context triple: [Union Pacific West Line, endPoint, Elburn]
  • A. Elburn, Illinois chosen
    Elburn, Illinois is a small village in the Chicago metropolitan area known for its rural character and role as a commuter rail terminus for Metra’s Union Pacific West Line.
  • 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. Elwood, Illinois
    Elwood, Illinois is a small village in northeastern Illinois known for its rural character and proximity to major transportation and logistics hubs.
  • E. Berwyn
    Berwyn is a residential neighborhood within College Park, Maryland, known for its suburban character and proximity to the University of Maryland.
  • 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_69ca8314cd6c8190a6b8c2a1096e18f3 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe135657c81908ed8156fbfbef6ec completed March 31, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d4eae224cc8190ac596ff9f8921cda completed April 7, 2026, 11:30 a.m.
Created at: March 30, 2026, 6:08 p.m.