Triple

T4681868
Position Surface form Disambiguated ID Type / Status
Subject Louis Bonaparte E103820 entity
Predicate nobleTitle P914 FINISHED
Object Count of Saint-Leu E103820 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: Count of Saint-Leu | Statement: [Louis Bonaparte, nobleTitle, Count of Saint-Leu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Count of Saint-Leu
Context triple: [Louis Bonaparte, nobleTitle, Count of Saint-Leu]
  • A. Count of Saint-Leu chosen
    The Count of Saint-Leu was a noble title held by Louis Bonaparte, former King of Holland and younger brother of Napoleon Bonaparte.
  • B. Casteau
    Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
  • C. d’Oultremont
    d’Oultremont is a noble Belgian family name historically associated with aristocratic lineages in Belgium.
  • D. Sainte Devote
    Sainte Devote is the tight right-hand first corner of the Monaco Grand Prix circuit, known for its challenging braking zone and frequent race incidents.
  • E. Kaiserswerth
    Kaiserswerth is a historic district in northern Düsseldorf, Germany, known for its medieval castle ruins and picturesque old town along the Rhine 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_69bd43debbf08190b4bc372e286ec234 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd637fedd0819097f59734a9f9a01f completed March 20, 2026, 3:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69be03ac44d481908ecb1fe84184a886 completed March 21, 2026, 2:34 a.m.
Created at: March 20, 2026, 1:16 p.m.