Triple

T6763682
Position Surface form Disambiguated ID Type / Status
Subject Logan Square, Chicago E154659 entity
Predicate hasLandmark P105 FINISHED
Object Logan Square E372526 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: Logan Square | Statement: [Logan Square, Chicago, hasLandmark, Logan Square]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logan Square
Context triple: [Logan Square, Chicago, hasLandmark, Logan Square]
  • A. Logan Square
    Logan Square is a notable public square and local landmark situated in the Hyde Park neighborhood of Boston, Massachusetts.
  • B. Logan Square chosen
    Logan Square is a vibrant Chicago neighborhood known for its historic boulevards, diverse dining and nightlife, and a mix of classic greystone buildings and newer developments.
  • C. Logan Square neighborhood
    Logan Square neighborhood is a central Philadelphia district known for its cultural institutions, museums, and prominent public spaces like Logan Circle along the Benjamin Franklin Parkway.
  • D. 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.
  • E. Wicker Park
    Wicker Park is a trendy Chicago neighborhood known for its vibrant arts scene, nightlife, and eclectic mix of boutiques, restaurants, and music venues.
  • 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_69c688109c1c8190added9a221292af0 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2160a2c8190837c608a3509c62c completed March 27, 2026, 6:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c723c3eb4881909c9c8d1258f461d9 completed March 28, 2026, 12:41 a.m.
Created at: March 27, 2026, 2:12 p.m.