Triple

T13808327
Position Surface form Disambiguated ID Type / Status
Subject Sel municipality E331816 entity
Predicate administrativeCentre P1474 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: [Sel municipality, administrativeCentre, Otta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Otta
Context triple: [Sel municipality, administrativeCentre, 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. Ott
    Ott is a surname most famously associated with Mel Ott, a Hall of Fame Major League Baseball slugger for the New York Giants.
  • C. Ota
    Ota is a historically significant Awori town in southwestern Nigeria that has grown into a major industrial and educational hub.
  • D. Otten
    Otten is a surname of likely Dutch or German origin borne by various individuals and families.
  • E. Otse
    Otse is a village located in Botswana’s South-East District, known for its traditional culture and proximity to the capital, Gaborone.
  • 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_69d81c59f8808190a851bc56afdc55e9 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de026eae8481908b8880635e6a9152 completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b08fbc348190a199c5d92e0e46be completed May 3, 2026, 8:31 p.m.
Created at: April 9, 2026, 10:12 p.m.