Triple

T3789335
Position Surface form Disambiguated ID Type / Status
Subject Goeree-Overflakkee E89605 entity
Predicate contains P35 FINISHED
Object Herkingen E126682 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: Herkingen | Statement: [Goeree-Overflakkee, contains, Herkingen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Herkingen
Context triple: [Goeree-Overflakkee, contains, Herkingen]
  • A. Herkingen chosen
    Herkingen is a small Dutch village on the island of Goeree-Overflakkee in South Holland, known for its marina and water sports on the Grevelingenmeer.
  • B. Herkinge
    Herkinge is a small settlement located in the Dutch province of South Holland.
  • C. Haaksbergen
    Haaksbergen is a town in the eastern Netherlands, near the German border, known for its rural surroundings and cross-border ties with neighboring German communities.
  • D. Horebeke
    Horebeke is a small rural municipality in the Flemish Ardennes region of East Flanders, Belgium.
  • E. Beinsdorp
    Beinsdorp is a small village in the Dutch province of North Holland, situated within the municipality of Haarlemmermeer.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee76570b481909c26d47a3251b180 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4f05326dc81909a4523c8f2062c25 completed March 14, 2026, 5:21 a.m.
Created at: March 9, 2026, 3:15 p.m.