Triple

T1014408
Position Surface form Disambiguated ID Type / Status
Subject Haninge Municipality E21897 entity
Predicate hasIsland P970 FINISHED
Object Ornö E128831 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: Ornö | Statement: [Haninge Municipality, hasIsland, Ornö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ornö
Context triple: [Haninge Municipality, hasIsland, Ornö]
  • A. Ornö chosen
    Ornö is a large island in the Stockholm archipelago of Sweden, known for its forests, bays, and traditional summer cottages.
  • B. Utö
    Utö is a Swedish island in the Stockholm archipelago known for its historic iron ore mines, scenic nature, and popular summer tourism.
  • C. Hinnøya
    Hinnøya is the largest island in mainland Norway, known for its dramatic fjords, mountains, and coastal landscapes in the north of the country.
  • D. Lidingö
    Lidingö is a suburban island town in the Stockholm archipelago known for its affluent residential areas, natural landscapes, and proximity to Sweden’s capital.
  • E. Valaam Islands
    The Valaam Islands are a scenic archipelago in northwestern Russia best known for the historic Valaam Monastery and their rugged natural landscapes.
  • 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_69a493c68e24819080ed0ee8bcfd5ce0 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b7be907c8190b5c6ea89257755a7 completed March 1, 2026, 10:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5e9d99f08190ad72bdb3ab555fec completed March 7, 2026, 5:21 p.m.
Created at: March 1, 2026, 7:41 p.m.