Triple

T14632244
Position Surface form Disambiguated ID Type / Status
Subject Far Southeast Side, Chicago E343507 entity
Predicate adjacentTo P224 FINISHED
Object Lake Calumet E87546 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: Lake Calumet | Statement: [Far Southeast Side, Chicago, adjacentTo, Lake Calumet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lake Calumet
Context triple: [Far Southeast Side, Chicago, adjacentTo, Lake Calumet]
  • A. Lake Calumet chosen
    Lake Calumet is an industrially impacted lake on Chicago’s far South Side that has historically served as a major hub for shipping, manufacturing, and waste disposal.
  • B. Detroit Lake
    Detroit Lake is a large reservoir in western Oregon popular for boating, fishing, and camping, formed by the Detroit Dam on the North Santiam River.
  • C. Lake State
    Lake State is an administrative region in northern South Sudan known for its proximity to the White Nile and its predominantly Dinka population.
  • D. Muskegon Lake
    Muskegon Lake is a freshwater coastal lake in western Michigan that connects the city of Muskegon to Lake Michigan and serves as a major recreational and industrial harbor.
  • E. Lake LaSalle
    Lake LaSalle is a man-made lake located on the North Campus of the University at Buffalo, used for recreation and campus activities.
  • 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_69d822dffc3c8190aa173b90761bffda completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb4aa7cb48190b008bd6b0e162c89 completed April 14, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb7ab30c8190af49268b6f93aeb1 completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:26 a.m.