Triple

T6027302
Position Surface form Disambiguated ID Type / Status
Subject Charles the Simple E134211 entity
Predicate placeOfDeath P21 FINISHED
Object Péronne E391538 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: Péronne | Statement: [Charles the Simple, placeOfDeath, Péronne]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Péronne
Context triple: [Charles the Simple, placeOfDeath, Péronne]
  • A. Péronne chosen
    Péronne is a historic town in northern France known for its role in World War I and its location in the Somme department.
  • B. Arras
    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.
  • C. Saint-Quentin
    Saint-Quentin is a historic town in northern France known for its Gothic basilica, Art Deco architecture, and role as a regional administrative and commercial center.
  • D. Doullens
    Doullens is a historic commune in northern France known for its medieval citadel and role as a strategic military and administrative center in the Somme department.
  • E. Château-Thierry
    Château-Thierry is a historic town in northern France known for its World War I battlefields and its association with the poet Jean de La Fontaine.
  • 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_69c0087515148190a97475d412563865 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0560cdc308190b25ca8ecb42c4e4f completed March 22, 2026, 8:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c1356aa44c8190aa2602bf77c00d2f completed March 23, 2026, 12:43 p.m.
Created at: March 22, 2026, 4:07 p.m.