Triple

T4446347
Position Surface form Disambiguated ID Type / Status
Subject Rondane E96297 entity
Predicate hasNearbySettlement P4647 FINISHED
Object Otta E331809 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: Otta | Statement: [Rondane, hasNearbySettlement, Otta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otta
Context triple: [Rondane, hasNearbySettlement, Otta]
  • A. Otta chosen
    Otta is a small Norwegian town known as a regional transport hub and gateway to popular mountain and national park areas.
  • B. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • C. Oppum
    Oppum is a district of the German city of Krefeld in the state of North Rhine-Westphalia.
  • D. Oton
    Oton is a coastal municipality in the Philippine province of Iloilo known for its historical heritage and proximity to Iloilo City.
  • E. Oto
    The Oto are a Native American tribe originally from the Great Plains region, historically known for their semi-nomadic lifestyle, agriculture, and participation in 19th-century U.S. treaty negotiations.
  • 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_69b345415ba481908df738e7174448ba completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355d1eba08190899d0a3c1684ce4e completed March 13, 2026, 12:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69b613850eb88190b689a632b0e2b374 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:32 p.m.