Triple

T36563271
Position Surface form Disambiguated ID Type / Status
Subject Rue Saint-Joseph Est E901899 entity
Predicate hasOrientationQualifier P195780 FINISHED
Object Est 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: Est | Statement: [Rue Saint-Joseph Est, hasOrientationQualifier, Est]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasOrientationQualifier
Context triple: [Rue Saint-Joseph Est, hasOrientationQualifier, Est]
  • A. hasOrientation
    Indicates that one entity is positioned or directed in a specific spatial or conceptual alignment relative to a reference frame or another entity.
  • B. hasOrientationInUse
    Indicates that an entity, when in use or operation, is oriented in a specific direction or spatial alignment.
  • C. hasAestheticOrientation
    Indicates that an entity holds or exhibits a particular aesthetic preference, style, or orientation in relation to another entity or concept.
  • D. hasOrientationConvention chosen
    Indicates that there is a specified convention or standard governing how the orientation or directional arrangement of something is defined or interpreted.
  • E. performanceOrientation
    Indicates a relationship where an entity is characterized by a focus on achieving high performance, results, or measurable outcomes in its activities or behavior.
  • 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_69f76e634e9481908c9ba1b87ab87c26 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fef112398081909237c3872345968b completed May 9, 2026, 8:32 a.m.
PD Predicate disambiguation batch_69feefb14ec08190ab401987d8c84a23 completed May 9, 2026, 8:26 a.m.
Created at: May 3, 2026, 4:11 p.m.