Triple

T8706037
Position Surface form Disambiguated ID Type / Status
Subject Alfred Sisley E206651 entity
Predicate signatureSubject P84653 FINISHED
Object river Seine E6962 NE FINISHED

How this triple was built (3 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: river Seine | Statement: [Alfred Sisley, signatureSubject, river Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: river Seine
Context triple: [Alfred Sisley, signatureSubject, river Seine]
  • A. River Seine chosen
    The River Seine is a major waterway in northern France that flows through the heart of Paris and is central to the city's history, culture, and landscape.
  • B. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • C. Front de Seine
    Front de Seine is a modern high-rise residential and commercial district in Paris known for its distinctive towers and redevelopment along the Left Bank of the Seine.
  • D. Oise River
    The Oise River is a major waterway in northern France and southern Belgium that flows into the Seine and serves as an important route for inland navigation and commerce.
  • E. Rive Droite
    Rive Droite is the northern, historically affluent bank of the Seine in Paris, known for its grand boulevards, major museums, and iconic landmarks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: signatureSubject
Context triple: [Alfred Sisley, signatureSubject, river Seine]
  • A. signatureRole
    Indicates the specific function or capacity in which an entity participates in a signing or signature-related action.
  • B. signGivenBy
    Indicates that a sign (such as a signal, gesture, or indication) is produced or provided by one entity to another.
  • C. signature
    Indicates that one entity has provided an official or personal signed endorsement, authorization, or acknowledgment on or for another entity.
  • D. signatureItem
    Indicates that an entity is a component or element that forms part of another entity’s signature (such as a defining list, pattern, or parameter set).
  • E. signatureType
    Indicates the specific kind or category of a signature associated with an entity or action.
  • F. None of above. chosen

Provenance (5 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_69ca835645e881908f00e3c8b51da81d completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc58fcac748190a82b57aeb7c43df9 completed March 31, 2026, 11:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5165c7708190988eeacf4789b708 completed April 3, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69cc456bda508190a9aa0fb92760739e completed March 31, 2026, 10:06 p.m.
PDg Predicate description generation batch_69cc582412f48190ae819965bfb0e75d completed March 31, 2026, 11:26 p.m.
Created at: March 30, 2026, 6:35 p.m.