Triple

T13413547
Position Surface form Disambiguated ID Type / Status
Subject Mont-Saint-Aignan E320150 entity
Predicate locatedIn P40 FINISHED
Object Seine-Maritime E74571 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-Maritime | Statement: [Mont-Saint-Aignan, locatedIn, Seine-Maritime]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Seine-Maritime
Context triple: [Mont-Saint-Aignan, locatedIn, Seine-Maritime]
  • A. Seine-Maritime chosen
    Seine-Maritime is a coastal department in the Normandy region of northern France, known for its port city of Le Havre and the historic town of Rouen.
  • B. Prefecture of Manche
    The Prefecture of Manche is the main administrative center and government headquarters for the Manche department in Normandy, France.
  • C. Ille-et-Vilaine
    Ille-et-Vilaine is a department in northwestern France known for its capital Rennes and its location within the historic region of Brittany.
  • D. Pays de Falaise
    Pays de Falaise is a historical region in Normandy, France, centered around the town of Falaise and known for its medieval heritage and association with William the Conqueror.
  • E. Pas-de-Calais
    Pas-de-Calais is a department in northern France, bordering the English Channel and known for its historic ports, World War battlefields, and the Channel Tunnel connection to the United Kingdom.
  • 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_69d806b943cc8190b6af624d385d7e12 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb556948190af008c88e5bbf051 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78ad2c4dc819083d23448d21bb0f3 completed May 3, 2026, 5:50 p.m.
Created at: April 9, 2026, 9:35 p.m.