Triple

T34425667
Position Surface form Disambiguated ID Type / Status
Subject Rondo neighborhood E883659 entity
Predicate hasUrbanFormChange P179649 FINISHED
Object fragmented by freeway construction 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: fragmented by freeway construction | Statement: [Rondo neighborhood, hasUrbanFormChange, fragmented by freeway construction]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanFormChange
Context triple: [Rondo neighborhood, hasUrbanFormChange, fragmented by freeway construction]
  • A. containsUrbanForm
    Indicates that one entity spatially includes or encompasses an urban form or built-up area within its extent.
  • B. isUrbanForm
    Indicates that an entity represents or exhibits characteristics of an urban built environment or city-like spatial structure.
  • C. hasUrbanModel
    Indicates that an entity is associated with or characterized by a specific urban planning or city-scale representation model.
  • D. hasUrbanDistrictStatusSince
    Indicates that an entity has held the legal or administrative status of an urban district continuously since a specified point in time.
  • E. hasUrbanSectionsIn
    Indicates that an entity includes or contains sections that are classified as urban within a specified area or region.
  • 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_69f349c3dd2c819092cc9e64809f4a42 completed April 30, 2026, 12:23 p.m.
NER Named-entity recognition batch_69f7238172748190b8cd340ad1f4ba80 completed May 3, 2026, 10:29 a.m.
PD Predicate disambiguation batch_69f72155c48881909bd40b9aa3febd5a completed May 3, 2026, 10:20 a.m.
PDg Predicate description generation batch_69f72349f1108190b6a06758ab2f40bb completed May 3, 2026, 10:28 a.m.
Created at: May 1, 2026, 2 a.m.