Triple

T23231076
Position Surface form Disambiguated ID Type / Status
Subject Lomseggen E581154 entity
Predicate near P350 FINISHED
Object Lom village 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 village | Statement: [Lomseggen, near, Lom village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lom village
Context triple: [Lomseggen, near, Lom village]
  • A. Lom village chosen
    Lom village is a small settlement in Innlandet county, Norway, known as a gateway to the Jotunheimen mountains and for its traditional wooden architecture and cultural attractions.
  • B. Loh village
    Loh village is a small coastal community located on Loh Island in the remote Torres Islands group of northern Vanuatu.
  • C. Lümanda village
    Lümanda village is a small rural settlement in western Estonia that serves as the administrative center of the former Lümanda municipality on Saaremaa Island.
  • D. Lesja village
    Lesja village is a small rural settlement in Innlandet county, Norway, known for its traditional farming landscape and role as the local hub of the surrounding mountainous area.
  • E. Gelmeroda village
    Gelmeroda village is a small settlement near Weimar, Germany, best known as the subject of Lyonel Feininger’s iconic expressionist "Gelmeroda" painting series.
  • 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.