Triple

T23231022
Position Surface form Disambiguated ID Type / Status
Subject Norwegian Mountain Center E581153 entity
Predicate locatedIn P40 FINISHED
Object Lom 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: Lom | Statement: [Norwegian Mountain Center, locatedIn, Lom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lom
Context triple: [Norwegian Mountain Center, locatedIn, Lom]
  • A. Lom chosen
    Lom is a mountainous municipality in Innlandet county, Norway, known for its historic stave church and as a gateway to the Jotunheimen National Park.
  • B. Lom
    Lom is a port city on the Danube River in northwestern Bulgaria, known as an important regional transport and trade hub.
  • C. Lomm
    Lomm is a village in the Dutch province of Limburg that forms part of the municipality of Venlo.
  • D. lom
    lom is the ISO 639-3 language code for the Loma language spoken primarily in Liberia and neighboring West African regions.
  • E. Lomu
    Lomu is a surname most famously associated with Jonah Lomu, the legendary New Zealand rugby union winger.
  • 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_69e246043c48819089bae72c9a9c306c completed April 17, 2026, 2:39 p.m.
NER Named-entity recognition batch_69f19231ef908190a791b4967916a66f completed April 29, 2026, 5:08 a.m.
Created at: April 17, 2026, 4:09 p.m.