Triple

T12326680
Position Surface form Disambiguated ID Type / Status
Subject Il tabarro E293846 entity
Predicate settingLocation P40 FINISHED
Object the 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: the Seine | Statement: [Il tabarro, settingLocation, the Seine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: the Seine
Context triple: [Il tabarro, settingLocation, the Seine]
  • A. 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.
  • B. Source-Seine
    Source-Seine is the small commune in eastern France where the River Seine originates.
  • C. 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.
  • D. Baie de Seine
    Baie de Seine is a coastal bay in northern France where the Seine River meets the English Channel, known for its maritime traffic and proximity to ports like Le Havre.
  • E. Grand-Orly Seine Bièvre
    Grand-Orly Seine Bièvre is a French intercommunal structure in the southern suburbs of Paris that groups together multiple municipalities for coordinated local governance and development.
  • 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_69d6ab6ae0dc8190b1522a9c1c55c114 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f4f90a881908c5060dd197744d1 completed April 10, 2026, 6:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8b9717c8190b8ac71989d3b3582 completed May 3, 2026, 2:53 a.m.
Created at: April 8, 2026, 9:53 p.m.