Triple

T12909903
Position Surface form Disambiguated ID Type / Status
Subject Loing E308828 entity
Predicate partOf P40 FINISHED
Object Seine river system E49299 NE 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: Seine river system | Statement: [Loing, partOf, Seine river system]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seine river system
Context triple: [Loing, partOf, Seine river system]
  • A. Seine River Basin chosen
    The Seine River Basin is the extensive drainage area in northern France that collects the waters of the Seine and its tributaries, encompassing Paris and much of the surrounding region.
  • B. River Seine
    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.
  • 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. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • E. Seine Valley
    The Seine Valley is a picturesque region in northern France defined by the meandering Seine River, renowned for its scenic landscapes, historic towns, and strong associations with Impressionist painters.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdf92b588190acdf2a2291ac4590 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9719e584c81909be1ac1366effca0 completed April 10, 2026, 9:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f716b63ad481909eb461d923f0d0c2 completed May 3, 2026, 9:34 a.m.
Created at: April 9, 2026, 5:41 p.m.