Triple

T15448019
Position Surface form Disambiguated ID Type / Status
Subject Ukrainian Village E370073 entity
Predicate nearbyNeighborhood P4647 FINISHED
Object Wicker Park E367123 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: Wicker Park | Statement: [Ukrainian Village, nearbyNeighborhood, Wicker Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wicker Park
Context triple: [Ukrainian Village, nearbyNeighborhood, Wicker Park]
  • A. 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.
  • B. Wicker Park chosen
    Wicker Park is a trendy Chicago neighborhood known for its vibrant arts scene, nightlife, and eclectic mix of boutiques, restaurants, and music venues.
  • C. Logan Square
    Logan Square is a notable public square and local landmark situated in the Hyde Park neighborhood of Boston, Massachusetts.
  • D. Logan Square
    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.
  • E. West Loop
    West Loop is a trendy Chicago neighborhood known for its transformed industrial warehouses, vibrant dining scene, and proximity to the Fulton Market District.
  • 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_69d85a19180081909925012fbf4e62a3 completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ef767b4819099f2c0919a158321 completed April 16, 2026, 1:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c3293dc819097f9e56963c333ee completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 3:21 a.m.