Triple

T14595333
Position Surface form Disambiguated ID Type / Status
Subject House of Oultremont E342545 entity
Predicate hasSurname P18 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: [House of Oultremont, hasSurname, Oultremont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oultremont
Context triple: [House of Oultremont, hasSurname, 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb43581348190b5362251c3a89654 completed April 14, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdd5c79c488190a134d2b0435e899e completed May 8, 2026, 12:23 p.m.
Created at: April 10, 2026, 1:25 a.m.