Triple

T13551989
Position Surface form Disambiguated ID Type / Status
Subject Étienne Constantin de Gerlache E323669 entity
Predicate birthPlace P1 FINISHED
Object Biourge E323669 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: Biourge | Statement: [Étienne Constantin de Gerlache, birthPlace, Biourge]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biourge
Context triple: [Étienne Constantin de Gerlache, birthPlace, Biourge]
  • A. Biourge chosen
    Biourge is a locality in Belgium known as the birthplace of the 19th-century Belgian statesman Étienne Constantin de Gerlache.
  • B. Naubise
    Naubise is a small but important town in central Nepal that serves as a key junction and gateway between Kathmandu and the country’s western regions.
  • C. Blaquiere
    Blaquiere was a notable Philhellene known for supporting the Greek struggle for independence in the 19th century.
  • D. Biot
    Biot is a picturesque medieval village in southeastern France’s Alpes-Maritimes department, renowned for its glassblowing tradition and hilltop views near the French Riviera.
  • E. Naberius
    Naberius is the main demonic antagonist in the film "I, Frankenstein," depicted as a powerful prince of demons seeking to harness reanimation technology for his own dark purposes.
  • 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_69d8076830b48190910a902bae5888e2 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaff0a6548190b8cde5084cef0061 completed April 12, 2026, 2:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da721208190a3f5159125dbde9a completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:46 p.m.