Triple

T2538393
Position Surface form Disambiguated ID Type / Status
Subject Nicolas Berdyaev E56325 entity
Predicate placeOfDeath P21 FINISHED
Object Clamart E71485 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: Clamart | Statement: [Nicolas Berdyaev, placeOfDeath, Clamart]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clamart
Context triple: [Nicolas Berdyaev, placeOfDeath, Clamart]
  • A. Clamart chosen
    Clamart is a suburban commune in the southwestern outskirts of Paris, France, known in part as the place where Palestinian leader Yasser Arafat died.
  • B. Rueil-Malmaison
    Rueil-Malmaison is a suburban commune in the western outskirts of Paris, France, known for its residential character, historical sites, and role as a base for major corporate headquarters.
  • C. Colombes
    Colombes is a suburban commune in the northwestern outskirts of Paris, France, known as a residential and historically significant town within the Île-de-France region.
  • D. Châtenay-Malabry
    Châtenay-Malabry is a suburban commune in the southwestern outskirts of Paris, France, known for its green spaces and residential character.
  • E. Courbevoie
    Courbevoie is a suburban commune in the Hauts-de-Seine department of the Île-de-France region, located just west of central Paris and known for encompassing part of the La Défense business district.
  • 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_69ab4a49b6508190bc467fbef4bac334 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd298fc2481908b2925bf6a06532b completed March 7, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69be9c2aefc08190931de470b930ce34 completed March 21, 2026, 1:24 p.m.
Created at: March 6, 2026, 9:47 p.m.