Triple

T7274487
Position Surface form Disambiguated ID Type / Status
Subject Union Pacific North Line E162988 entity
Predicate hasStation P35 FINISHED
Object Waukegan E72624 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: Waukegan | Statement: [Union Pacific North Line, hasStation, Waukegan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waukegan
Context triple: [Union Pacific North Line, hasStation, Waukegan]
  • A. Waukegan, Illinois chosen
    Waukegan, Illinois is an industrial port city on Lake Michigan in Lake County that serves as a northern suburb within the greater Chicago metropolitan area.
  • B. Peoria
    Peoria is a suburban city in the Phoenix metropolitan area of central Arizona, known for its rapid growth, residential communities, and recreational amenities.
  • C. Schaumburg
    Schaumburg is a historic German county and region that once formed part of the territorial holdings of various German princes and states.
  • D. Watseka, Illinois
    Watseka, Illinois is a small city in Iroquois County that serves as the county seat and a local agricultural and commercial center in eastern Illinois.
  • E. Geneva, Illinois
    Geneva, Illinois is a historic suburban city along the Fox River in the Chicago metropolitan area, known for its charming downtown, preserved architecture, and vibrant community events.
  • 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_69c6885c5964819085b209701769877f completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6eb0de9f48190807dd148758bad62 completed March 27, 2026, 8:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cbde8e8264819082a3954072dffd09 completed March 31, 2026, 2:47 p.m.
Created at: March 27, 2026, 2:58 p.m.