Triple

T19692777
Position Surface form Disambiguated ID Type / Status
Subject Uddel E472876 entity
Predicate locatedNear P294 FINISHED
Object Garderen NE NERFINISHED

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: Garderen | Statement: [Uddel, locatedNear, Garderen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Garderen
Context triple: [Uddel, locatedNear, Garderen]
  • A. Garderen chosen
    Garderen is a village in the Dutch province of Gelderland, known for its rural setting and location within the municipality of Barneveld.
  • B. Gardish
    Gardish is a 1993 Hindi action-drama film directed by Priyadarshan, known for Dimple Kapadia’s acclaimed performance alongside Jackie Shroff.
  • C. GARD
    GARD is a U.S. government-supported information center that provides reliable, patient-friendly resources on genetic and rare diseases.
  • D. Gärtner
    Gärtner is a German surname most notably associated with the 19th-century architect Friedrich von Gärtner.
  • E. Gardingen
    Gardingen is a small locality in northern Germany best known as the birthplace of the renowned classical scholar and historian Theodor Mommsen.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e515bef88190bc30781aea50537a completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e64210cddc8190836faa2996a44457 completed April 20, 2026, 3:11 p.m.
Created at: April 10, 2026, 1:46 p.m.