Triple

T12305950
Position Surface form Disambiguated ID Type / Status
Subject Matthias of Arras E293352 entity
Predicate placeOfBirth P1 FINISHED
Object Arras E187526 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: Arras | Statement: [Matthias of Arras, placeOfBirth, Arras]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arras
Context triple: [Matthias of Arras, placeOfBirth, Arras]
  • A. Arras chosen
    Arras is a historic city in northern France renowned for its Flemish-Baroque architecture, grand squares, and role as a strategic site in both World Wars.
  • B. Thérouanne
    Thérouanne is a historic town in northern France that once served as an important medieval religious center and episcopal seat.
  • C. Saint-Omer
    Saint-Omer is a historic town in northern France known for its medieval architecture, strategic military importance, and role in Franco-Spanish conflicts.
  • D. Cambrai
    Cambrai is a historic city in northern France known for its medieval heritage, role in World War I, and traditional confectionery.
  • E. Aire-sur-la-Lys
    Aire-sur-la-Lys is a historic town in northern France’s Pas-de-Calais department, known for its medieval architecture and strategic location near the Lys River.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f00695c8190b7365e4593631690 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64b8cf0e8819088f5ee03495bbf61 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:53 p.m.