Triple

T10331936
Position Surface form Disambiguated ID Type / Status
Subject Cimetière de Plainpalais E242897 entity
Predicate burialPlaceOf P196 FINISHED
Object Gustave Moynier E17224 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: Gustave Moynier | Statement: [Cimetière de Plainpalais, burialPlaceOf, Gustave Moynier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gustave Moynier
Context triple: [Cimetière de Plainpalais, burialPlaceOf, Gustave Moynier]
  • A. Gustave Moynier chosen
    Gustave Moynier was a Swiss jurist and humanitarian who co-founded and long presided over the International Committee of the Red Cross, helping shape modern humanitarian law and relief efforts.
  • B. Jules Dupuit
    Jules Dupuit was a 19th-century French engineer and economist known for pioneering the concepts of consumer surplus and marginal utility in public economics.
  • C. Camille Alphonse Trézel
    Camille Alphonse Trézel was a 19th-century French general and colonial officer known for his role in France’s early military campaigns during the conquest of Algeria.
  • D. Urbain Fabre
    Urbain Fabre is an alias used by Jean Valjean, the protagonist of Victor Hugo's novel "Les Misérables."
  • E. Urbain Durand
    Urbain Durand was a French Jesuit missionary known for his work in China during the 18th century.
  • 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_69d381af787481908bc401325c760a88 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4dfc1b0488190ac04da58a4987da0 completed April 7, 2026, 10:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7504d49e88190b2739522f3ead702 completed April 9, 2026, 7:07 a.m.
Created at: April 6, 2026, 11:52 a.m.