Triple

T11135355
Position Surface form Disambiguated ID Type / Status
Subject Maria Gabriella of Savoy E263394 entity
Predicate placeOfMarriage P128 FINISHED
Object Sainte-Mesme E230709 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: Sainte-Mesme | Statement: [Maria Gabriella of Savoy, placeOfMarriage, Sainte-Mesme]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sainte-Mesme
Context triple: [Maria Gabriella of Savoy, placeOfMarriage, Sainte-Mesme]
  • A. Sainte-Mesme chosen
    Sainte-Mesme is a small commune in the Île-de-France region of north-central France.
  • B. Mondercange
    Mondercange is a commune and small town in southwestern Luxembourg, known for hosting the headquarters and training center of the national football association.
  • C. Beaunoir
    Beaunoir is a rare white wine grape variety, historically cultivated in parts of Europe and known primarily through its role in old viticultural lineages.
  • D. Comines
    Comines is a town situated along the Lys River in the historic Flanders region on the border between France and Belgium.
  • E. Béthune
    Béthune is a historic town in northern France known for its medieval belfry and role as a regional center in the former County of Artois.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e85daddc8190a1ae2a4a75cc8d50 completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441fa286881909a8279a8ea6944e7 completed April 19, 2026, 2:46 a.m.
Created at: April 8, 2026, 9:28 p.m.