Triple

T14740606
Position Surface form Disambiguated ID Type / Status
Subject d’Oultremont E346333 entity
Predicate hasFamilyNameForm P27865 FINISHED
Object Oultremont E1109450 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: Oultremont | Statement: [d’Oultremont, hasFamilyNameForm, Oultremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oultremont
Context triple: [d’Oultremont, hasFamilyNameForm, Oultremont]
  • A. Oultremont chosen
    Oultremont is a noble family name associated with the historic Belgian aristocratic House of Oultremont.
  • B. Rejet-de-Beaulieu
    Rejet-de-Beaulieu is a small commune in the Nord department of northern France, situated within the administrative area of Le Cateau-Cambrésis.
  • C. Ville-au-Bois
    Ville-au-Bois is a small settlement located within the municipality of Stoumont in the province of Liège, Belgium.
  • D. Senneville
    Senneville is a small, affluent suburban village located at the western tip of the Island of Montreal in Quebec, Canada.
  • E. Marly-la-Ville
    Marly-la-Ville is a commune in the Val-d'Oise department in the northern suburbs of Paris, France.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7345680819093e901233a064e48 completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb91fdf88190bdcc9a93289f6b7f completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.