Triple

T8662538
Position Surface form Disambiguated ID Type / Status
Subject Ludovico Sforza E205581 entity
Predicate placeOfDeath P21 FINISHED
Object Loches E133450 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: Loches | Statement: [Ludovico Sforza, placeOfDeath, Loches]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loches
Context triple: [Ludovico Sforza, placeOfDeath, Loches]
  • A. Loches chosen
    Loches is a historic fortified town in central France renowned for its medieval château and well-preserved old quarter.
  • B. Naussac Lake
    Naussac Lake is a large artificial reservoir in southern France known for water sports, fishing, and regulating the region’s water resources.
  • C. Étang de Diane
    Étang de Diane is a coastal lagoon on the eastern shore of Corsica, France, known for its oyster and mussel farming and its scenic natural setting.
  • D. 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.
  • E. Étang de Berre
    Étang de Berre is a large coastal lagoon in southern France near Marseille, known for its industrial shoreline, ecological significance, and role as a major Mediterranean harbor area.
  • 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_69ca83516ae88190aefe034b3bc589e3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc4872a190819087d679f3006bd030 completed March 31, 2026, 10:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecd0518248190ba0d3a87d11dff86 completed April 2, 2026, 8:09 p.m.
Created at: March 30, 2026, 6:30 p.m.