Triple

T15332231
Position Surface form Disambiguated ID Type / Status
Subject Lovatnet E366562 entity
Predicate near P350 FINISHED
Object Loen village E366561 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: Loen village | Statement: [Lovatnet, near, Loen village]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loen village
Context triple: [Lovatnet, near, Loen village]
  • A. Loen
    Loen is a small settlement located on Namu Atoll in the Marshall Islands, a remote Pacific island nation.
  • B. Dovre village
    Dovre village is a small settlement in Innlandet county, Norway, known as a local center in the mountainous Gudbrandsdalen region.
  • C. Hafjell village
    Hafjell village is a small Norwegian settlement known primarily for its proximity to the Hafjell ski resort and the Lillehammer Olympic region.
  • D. Loen valley chosen
    Loen valley is a scenic glacial valley in western Norway known for its dramatic mountains, turquoise lakes, and popular hiking and outdoor activities.
  • E. Kautokeino village
    Kautokeino village is a remote settlement in northern Norway known as a cultural center of the Sámi people and the main hub of local reindeer herding and traditional handicrafts.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e0268608190947a58f559a67717 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b3f8eac81908489baeb4cb6bb53 completed May 9, 2026, 10:23 a.m.
Created at: April 10, 2026, 3:17 a.m.