Triple

T4937545
Position Surface form Disambiguated ID Type / Status
Subject Avenue de la Grande-Armée E110847 entity
Predicate hasBoroughBoundaryFunction P6131 FINISHED
Object boundary between 16th and 17th arrondissements 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: boundary between 16th and 17th arrondissements | Statement: [Avenue de la Grande-Armée, hasBoroughBoundaryFunction, boundary between 16th and 17th arrondissements]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBoroughBoundaryFunction
Context triple: [Avenue de la Grande-Armée, hasBoroughBoundaryFunction, boundary between 16th and 17th arrondissements]
  • A. hasBoroughEndpoint
    Indicates that something has an endpoint located within a specific borough.
  • B. hasBorough
    Indicates that one entity is located within, belongs to, or is administratively part of a specific borough.
  • C. hasBoroughCode
    Indicates that an entity is associated with a specific borough identified by a particular code.
  • D. containsCityOrBorough
    Indicates that a geographic or administrative area includes, within its boundaries, a specific city or borough.
  • E. hasBoundaryFeature chosen
    Indicates that a boundary (such as an edge, border, or limit) of one entity is characterized, marked, or defined by a specific feature or element.
  • 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_69bd4415eee08190bdce70276e56a5b4 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd70872270819080769dad972681ef completed March 20, 2026, 4:06 p.m.
PD Predicate disambiguation batch_69bd6c389b9881908ad7fb1c5393c1b1 completed March 20, 2026, 3:48 p.m.
Created at: March 20, 2026, 1:31 p.m.