Triple

T7079641
Position Surface form Disambiguated ID Type / Status
Subject Downtown Chicago E164916 entity
Predicate hasPart P35 FINISHED
Object South Loop E109326 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: South Loop | Statement: [Downtown Chicago, hasPart, South Loop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: South Loop
Context triple: [Downtown Chicago, hasPart, South Loop]
  • A. North Loop
    North Loop is a trendy, revitalized warehouse district in downtown Minneapolis known for its upscale restaurants, boutiques, and vibrant nightlife.
  • B. South Loop neighborhood chosen
    The South Loop neighborhood is a rapidly developing area just south of Chicago’s downtown, known for its mix of historic lofts, new high-rises, and proximity to major cultural and lakefront attractions.
  • C. 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.
  • D. East Loop
    East Loop is a central district in downtown Chicago known for its dense concentration of offices, cultural attractions, and proximity to the city's historic elevated transit lines.
  • E. 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.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4f063488190b9e1c614a9294bd1 completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79c8f11a48190a2a1f6ad99dc04b9 completed March 28, 2026, 9:17 a.m.
Created at: March 27, 2026, 2:40 p.m.