Triple

T14548891
Position Surface form Disambiguated ID Type / Status
Subject Cabrini Extension North E341360 entity
Predicate hasStreetGridContext P114895 FINISHED
Object bounded by streets on Chicago Near North Side LITERAL 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: bounded by streets on Chicago Near North Side | Statement: [Cabrini Extension North, hasStreetGridContext, bounded by streets on Chicago Near North Side]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasStreetGridContext
Context triple: [Cabrini Extension North, hasStreetGridContext, bounded by streets on Chicago Near North Side]
  • A. hasStreetGridFeature
    Indicates that a location or area possesses a specific characteristic or element of a street grid layout, such as a particular pattern, structure, or feature of its road network.
  • B. hasStreetGridPattern
    Indicates that an area’s street layout follows a structured, grid-like pattern of intersecting roads.
  • C. hasStreetLevel
    Indicates that something is located at, accessible from, or directly associated with the street level of a building or area.
  • D. hasNumberOfStreets
    Indicates the relationship that specifies how many streets are associated with or contained within a given entity.
  • E. hasStreet
    Indicates that an entity is located on, associated with, or identified by a particular street.
  • F. None of above. chosen

Provenance (4 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_69d822db9c8481908213ceb39585f792 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb2ed2b4c8190945bd26531c71f1f completed April 14, 2026, 9:34 p.m.
PD Predicate disambiguation batch_69de5c546c7081909e27d504ec360c5c completed April 14, 2026, 3:25 p.m.
PDg Predicate description generation batch_69de610330a48190b558235a14c0dc9f completed April 14, 2026, 3:45 p.m.
Created at: April 10, 2026, 1:23 a.m.