Triple

T3643462
Position Surface form Disambiguated ID Type / Status
Subject Quai de Grenelle E77242 entity
Predicate follows P134 FINISHED
Object River Seine E6962 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: River Seine | Statement: [Quai de Grenelle, follows, River Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: River Seine
Context triple: [Quai de Grenelle, follows, 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. 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.
  • D. Essonne River
    The Essonne River is a tributary of the Seine in northern France, flowing through the Île-de-France region and giving its name to the Essonne department.
  • 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.

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_69ad85de1b988190a45f8dbfebc806fc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc35acf2c81908f60168e93b773b1 completed March 8, 2026, 6:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4379623c8190856b03238e3ef0dd completed March 21, 2026, 7:06 a.m.
Created at: March 8, 2026, 3:24 p.m.