Triple

T12694972
Position Surface form Disambiguated ID Type / Status
Subject Charles Theodore, Elector of Bavaria E303308 entity
Predicate place of birth P1 FINISHED
Object Drogenbos E265435 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: Drogenbos | Statement: [Charles Theodore, Elector of Bavaria, place of birth, Drogenbos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drogenbos
Context triple: [Charles Theodore, Elector of Bavaria, place of birth, Drogenbos]
  • A. Drogenbos chosen
    Drogenbos is a small municipality in the Flemish Brabant province of Belgium, located just southwest of Brussels.
  • B. Dabok
    Dabok is a locality near Udaipur in Rajasthan, India, known primarily for hosting Maharana Pratap Airport, the main air gateway to the region.
  • C. Bosha
    Bosha is an alternative name for the Lom people, a Romani-related ethnic group primarily found in the Caucasus region.
  • D. Bogoso
    Bogoso is a mining town in southwestern Ghana known for its significant gold deposits and related industrial activities.
  • E. Gouderak
    Gouderak is a small village in the Dutch province of South Holland, situated along the Hollandse IJssel 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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ebd17081909f983567e4b36533 completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671ae935c8190a7fc2cf3c0987248 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.