Triple

T7508044
Position Surface form Disambiguated ID Type / Status
Subject Nesoddtangen peninsula E177442 entity
Predicate partOf P40 FINISHED
Object Nesodden E394792 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: Nesodden | Statement: [Nesoddtangen peninsula, partOf, Nesodden]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nesodden
Context triple: [Nesoddtangen peninsula, partOf, Nesodden]
  • A. Nesodden chosen
    Nesodden is a municipality and peninsula in southeastern Norway, situated across the Oslofjord from the capital city of Oslo.
  • B. Svaneke
    Svaneke is a picturesque coastal town on the Danish island of Bornholm, known for its well-preserved half-timbered houses, harbor, and traditional smokehouses.
  • C. Sundbyvester
    Sundbyvester is a district of Copenhagen located on Amager Island, known primarily as a residential urban area.
  • D. Notodden
    Notodden is a town and municipality in Vestfold og Telemark county, Norway, known for its industrial heritage and annual blues festival.
  • E. Grenaa
    Grenaa is a coastal town in eastern Jutland, Denmark, known for its ferry connections to the island of Anholt and its role as a regional commercial and educational center.
  • 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_69c69f276b108190af2cc790b6554544 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f5b8ab5c8190828ee8d144068828 completed March 27, 2026, 9:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8460be99881909cada82cf7563421 completed March 28, 2026, 9:20 p.m.
Created at: March 27, 2026, 3:45 p.m.