Triple

T15691030
Position Surface form Disambiguated ID Type / Status
Subject Nordmøre E380328 entity
Predicate contains P35 FINISHED
Object Surnadal E494771 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: Surnadal | Statement: [Nordmøre, contains, Surnadal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Surnadal
Context triple: [Nordmøre, contains, Surnadal]
  • A. Surnadal chosen
    Surnadal is a municipality and village area in western Norway known for its valley landscape, agriculture, and outdoor recreation.
  • B. Sardoal
    Sardoal is a small Portuguese municipality known for its historic village center and traditional religious and cultural festivities, located in the Centro Region of Portugal.
  • C. Sarreaus
    Sarreaus is a municipality in the province of Ourense, in the autonomous community of Galicia in northwestern Spain.
  • D. Sedrun
    Sedrun is a Swiss alpine village in the canton of Graubünden, known as a mountain resort and gateway to the Andermatt-Sedrun-Disentis ski region.
  • E. Sorau
    Sorau is a historic town in present-day Żary, western Poland, that was formerly part of Prussia and is known for its shifting political affiliations in Central European history.
  • 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_69d86d99e860819094b6957cde470f2c completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04f4e59988190aaf12f6a07c8f0e4 completed April 16, 2026, 2:54 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6eebaccc8190a61fb2f9b9bdbcc1 completed May 9, 2026, 5:29 p.m.
Created at: April 10, 2026, 4:44 a.m.