Triple

T13367243
Position Surface form Disambiguated ID Type / Status
Subject Forest, Belgium E318970 entity
Predicate borders P224 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: [Forest, Belgium, borders, Drogenbos]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Drogenbos
Context triple: [Forest, Belgium, borders, 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.