Triple

T16903986
Position Surface form Disambiguated ID Type / Status
Subject Luçon E424508 entity
Predicate regionType P1828 FINISHED
Object Marais Poitevin E574811 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: Marais Poitevin | Statement: [Luçon, regionType, Marais Poitevin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marais Poitevin
Context triple: [Luçon, regionType, Marais Poitevin]
  • A. Marais Poitevin chosen
    Marais Poitevin is a vast, low-lying wetland in western France famed for its network of canals, rich biodiversity, and nickname "Green Venice."
  • B. Lac de Bonlieu
    Lac de Bonlieu is a scenic glacial lake in France’s Jura region, known for its clear waters, surrounding forests, and tranquil natural setting.
  • C. Lac de Créteil
    Lac de Créteil is an artificial urban lake in Créteil, France, known for its recreational areas, walking paths, and surrounding green spaces.
  • D. Marais de Chautagne
    Marais de Chautagne is a large wetland and nature reserve in eastern France known for its rich biodiversity and role in protecting the ecosystems around Lac du Bourget.
  • E. Lake Aquitaine
    Lake Aquitaine is a man-made recreational lake and park area in the Meadowvale community of Mississauga, Ontario, known for its walking trails, wildlife, and outdoor activities.
  • 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_69d889da3e8c8190a2b118f383f0beac completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e3c8de3070819085bfe9696bc887ea completed April 18, 2026, 6:09 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00c7b47a6081909d8609c2bce96d1a completed May 10, 2026, 6 p.m.
Created at: April 10, 2026, 5:30 a.m.