Triple

T7958658
Position Surface form Disambiguated ID Type / Status
Subject IJsselvallei E184804 entity
Predicate hasPart P35 FINISHED
Object Wijhe E453153 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: Wijhe | Statement: [IJsselvallei, hasPart, Wijhe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wijhe
Context triple: [IJsselvallei, hasPart, Wijhe]
  • A. Wijhe chosen
    Wijhe is a village in the Dutch province of Overijssel, known as a historic settlement along the river IJssel.
  • B. Zijdelwaard
    Zijdelwaard is a residential neighborhood in the town of Uithoorn in the province of North Holland, Netherlands.
  • C. Passewaaij
    Passewaaij is a residential neighborhood of the Dutch city of Tiel, located in the province of Gelderland.
  • D. Betuwe
    Betuwe is a fertile riverine region in the Dutch province of Gelderland, renowned for its extensive fruit orchards and scenic landscapes between the Rhine and Waal rivers.
  • E. Wieringen
    Wieringen is a former island and historical region in the Dutch province of North Holland, known for its coastal landscape and role in major water management projects like the Afsluitdijk.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3b80050c81909b2db95ade495052 completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566604e881908792c7155a370e4c completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:11 p.m.