Triple

T10299727
Position Surface form Disambiguated ID Type / Status
Subject Avenida 20 de Noviembre E241593 entity
Predicate hasUrbanDesign P92984 FINISHED
Object radial approach to the Zócalo 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: radial approach to the Zócalo | Statement: [Avenida 20 de Noviembre, hasUrbanDesign, radial approach to the Zócalo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanDesign
Context triple: [Avenida 20 de Noviembre, hasUrbanDesign, radial approach to the Zócalo]
  • A. hasUrbanPlanning
    Indicates that an entity is involved in, responsible for, or characterized by activities or attributes related to urban planning.
  • B. hasUrbanPlanner
    Indicates that an entity is associated with or utilizes a specific urban planner responsible for planning or managing its urban development.
  • C. hasUrbanFabric
    Indicates that one entity possesses, contains, or is characterized by a particular pattern or structure of built-up urban development.
  • D. urbanDesign
    Indicates the relationship in which an entity is responsible for planning, organizing, or shaping the physical layout and functional structure of urban spaces.
  • E. urbanDesigner
    Indicates a relationship where an entity practices or is responsible for planning and designing urban spaces, environments, or city layouts.
  • 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_69d381aaafc08190af475ef58dc16aba completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d2ee10f88190b1615c49b8f24a26 completed April 7, 2026, 9:48 a.m.
PD Predicate disambiguation batch_69d4d1f35e548190be3b4d92d65d2d20 completed April 7, 2026, 9:44 a.m.
PDg Predicate description generation batch_69d4d29d7cf08190acd70cee634c5cdb completed April 7, 2026, 9:47 a.m.
Created at: April 6, 2026, 11:44 a.m.