Triple

T15396682
Position Surface form Disambiguated ID Type / Status
Subject Pierre Roger de Beaufort E368194 entity
Predicate birthPlace P1 FINISHED
Object Maumont E1130047 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: Maumont | Statement: [Pierre Roger de Beaufort, birthPlace, Maumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Maumont
Context triple: [Pierre Roger de Beaufort, birthPlace, Maumont]
  • A. Maumont chosen
    Maumont is a locality in France notable as the birthplace of Pope Gregory XI, the last Avignon pope.
  • B. Abbeville
    Abbeville is a historic town in northern France known for its medieval architecture and role as a gateway to the Bay of Somme.
  • C. Ponsacco
    Ponsacco is a small Tuscan town in central Italy known for its furniture industry and location within the Province of Pisa.
  • D. Labbeville
    Labbeville is a small French commune located in the Val-d'Oise department in the Île-de-France region of northern France.
  • E. Mamou
    Mamou is a key urban and transport hub in central Guinea, often considered the gateway to the Middle Guinea region.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e8c5d40819086622b70edcb6294 completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff13542c908190abf765b0530c76ce completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:19 a.m.