Triple

T551656
Position Surface form Disambiguated ID Type / Status
Subject Near North Side E11852 entity
Predicate contains P35 FINISHED
Object River North E72349 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: River North | Statement: [Near North Side, contains, River North]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River North
Context triple: [Near North Side, contains, River North]
  • A. River North, Chicago chosen
    River North, Chicago is a vibrant downtown neighborhood known for its art galleries, nightlife, dining scene, and converted warehouse lofts just north of the Loop.
  • B. Wicker Park
    Wicker Park is a 2004 romantic psychological thriller film starring Josh Hartnett, known for its intricate plot about obsession, mistaken identity, and lost love.
  • C. Chicago Loop
    Chicago Loop is the central business district and historic downtown core of Chicago, known for its skyscrapers, theaters, parks, and major cultural attractions.
  • D. Lincoln Square
    Lincoln Square is a central public square and traffic circle in downtown Hodgenville, Kentucky, featuring monuments that commemorate the birthplace and legacy of President Abraham Lincoln.
  • E. Near North Side
    Near North Side is a prominent community area of Chicago known for its dense urban neighborhoods, upscale shopping districts like the Magnificent Mile, and major cultural and entertainment attractions.
  • 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_69a4932941d08190815efd422f0b4ca7 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a499047bd4819089ca8345f1b6e46c completed March 1, 2026, 7:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d6571588190b1f328e7b10b627c completed March 3, 2026, 11:23 p.m.
Created at: March 1, 2026, 7:32 p.m.