Triple

T15510612
Position Surface form Disambiguated ID Type / Status
Subject Oldevatnet E368698 entity
Predicate hasInflow P967 FINISHED
Object Oldeelva E1149878 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: Oldeelva | Statement: [Oldevatnet, hasInflow, Oldeelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oldeelva
Context triple: [Oldevatnet, hasInflow, Oldeelva]
  • A. Oldeelva chosen
    Oldeelva is a river in Norway’s Oldedalen valley, known for its glacial origins and scenic surroundings.
  • B. Ederveen
    Ederveen is a village in the Dutch province of Gelderland, known for its rural character and location within the municipality of Ede.
  • C. Laaghalerveen
    Laaghalerveen is a small village in the Dutch province of Drenthe, located within the municipality of Midden-Drenthe.
  • D. De Wolden
    De Wolden is a rural municipality in the northeastern Netherlands known for its scenic landscapes, small villages, and agricultural character.
  • E. Schollevaar
    Schollevaar is a residential district in the Dutch municipality of Capelle aan den IJssel, located near Rotterdam in the province of South Holland.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3d4cf35c8190aa8d2db6dd744c3f completed May 9, 2026, 1:57 p.m.
Created at: April 10, 2026, 3:55 a.m.