Triple

T17370455
Position Surface form Disambiguated ID Type / Status
Subject Storelva E422295 entity
Predicate hasNameInNorwegian P24009 FINISHED
Object Storelva NE ONNED1

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: Storelva | Statement: [Storelva, hasNameInNorwegian, Storelva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Storelva
Context triple: [Storelva, hasNameInNorwegian, Storelva]
  • A. Storelva chosen
    Storelva is a river in Ringerike, Norway, known locally as a small watercourse within the region’s inland river system.
  • B. Lohavan
    Lohavan is a sacred forest region within the Vraja Mandala pilgrimage area associated with the pastimes of Lord Krishna in Hindu tradition.
  • C. Storvreten
    Storvreten is a residential locality within Botkyrka Municipality in the Stockholm County area of Sweden.
  • D. Stranorlar
    Stranorlar is a small town in County Donegal, Ireland, situated on the River Finn and forming a twin town with nearby Ballybofey.
  • E. Torvastad
    Torvastad is a coastal village in Karmøy municipality in Rogaland county, southwestern Norway.
  • 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_69d889d6535c81908be333c01deaec4e completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43a68ff448190b505861e56df5b6d completed April 19, 2026, 2:14 a.m.
NED1 Entity disambiguation (via context triple) batch_6a019568a27c8190af1bbe6db75f3e6f in_progress May 11, 2026, 8:38 a.m.
Created at: April 10, 2026, 5:44 a.m.