Triple

T38405170
Position Surface form Disambiguated ID Type / Status
Subject Miami street grid E901005 entity
Predicate usesQuadrantDesignations P152250 FINISHED
Object NE 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: NE | Statement: [Miami street grid, usesQuadrantDesignations, NE]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesQuadrantDesignations
Context triple: [Miami street grid, usesQuadrantDesignations, NE]
  • A. basisOfQuadrantDesignation
    Indicates that one factor or criterion serves as the determining basis for assigning an entity to a particular quadrant in a quadrant-based classification or layout.
  • B. hasQuadrants
    Indicates that something is divided into four distinct sections or regions, typically arranged as quadrants.
  • C. usesStarDesignationSystem
    Indicates that one entity adopts or applies a particular star designation system to name or classify stars in relation to another entity or context.
  • D. hasQuadrantRole
    Indicates that an entity holds a specific functional or positional role within a defined quadrant of a larger structure or system.
  • E. belongsToQuadrantSystem chosen
    Indicates that something is organized or classified within a coordinate or partitioning scheme that is divided into four quadrants.
  • F. None of above.

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_69f76e6071a081909eea7a670d21420c completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fcd1499e2c81909bafd84dc4810f45 completed May 7, 2026, 5:52 p.m.
PD Predicate disambiguation batch_69fcccf024ec819086383ffbb6cfc036 completed May 7, 2026, 5:33 p.m.
Created at: May 3, 2026, 4:31 p.m.