Triple

T33174256
Position Surface form Disambiguated ID Type / Status
Subject Rue du Faubourg Poissonnière E849121 entity
Predicate hasEconomicEnvironment P55103 FINISHED
Object restaurants 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: restaurants | Statement: [Rue du Faubourg Poissonnière, hasEconomicEnvironment, restaurants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEconomicEnvironment
Context triple: [Rue du Faubourg Poissonnière, hasEconomicEnvironment, restaurants]
  • A. hasEconomicContext chosen
    Indicates that something is associated with, influenced by, or situated within a particular economic situation, condition, or set of financial circumstances.
  • B. hasEconomicDimension
    Indicates that something involves, affects, or is characterized by economic factors, considerations, or consequences.
  • C. hasEconomyCharacteristic
    Indicates that an economy possesses a particular attribute, feature, or quality.
  • D. hasEconomicDevelopment
    Indicates that one entity possesses, experiences, or is characterized by a certain level or type of economic growth, progress, or improvement in its economic conditions.
  • E. hasEconomicPosition
    Indicates that an entity holds a particular role, status, or standing within an economic system or structure.
  • 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_69f3495d06508190b0b7729982982cea completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6e02ba6b881908dfafc52d3b75f1c completed May 3, 2026, 5:42 a.m.
PD Predicate disambiguation batch_69f6de09c2f481909f8b2545d3208c9f completed May 3, 2026, 5:32 a.m.
Created at: May 1, 2026, 1:29 a.m.