Triple

T14471119
Position Surface form Disambiguated ID Type / Status
Subject Port of Waukegan E358843 entity
Predicate hasPart P35 FINISHED
Object Waukegan Harbor E358841 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 Harbor | Statement: [Port of Waukegan, hasPart, Waukegan Harbor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Waukegan Harbor
Context triple: [Port of Waukegan, hasPart, Waukegan Harbor]
  • A. Waukegan Harbor chosen
    Waukegan Harbor is a commercial and recreational port facility on Lake Michigan serving the city of Waukegan, Illinois.
  • B. Milwaukee Harbor
    Milwaukee Harbor is a commercial and recreational port area on Lake Michigan serving the city of Milwaukee, Wisconsin.
  • C. Lake Calumet
    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.
  • D. Sterling Bay
    Sterling Bay is a Chicago-based real estate investment and development firm known for acquiring, redeveloping, and managing prominent commercial properties.
  • E. Wilmette Harbor
    Wilmette Harbor is a small recreational marina on Lake Michigan known for boating, sailing, and access to the nearby Baha'i House of Worship in Wilmette, Illinois.
  • 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_69d827966698819082e140837737501d completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91f969788190a5114f92d7159aae completed April 14, 2026, 7:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd649e103c81908001b45c16d1fd79 completed May 8, 2026, 4:20 a.m.
Created at: April 10, 2026, 1:20 a.m.