Triple

T22697966
Position Surface form Disambiguated ID Type / Status
Subject Muskö Tunnel E561236 entity
Predicate connects P390 FINISHED
Object Muskö NE NERFINISHED

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: Muskö | Statement: [Muskö Tunnel, connects, Muskö]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Muskö
Context triple: [Muskö Tunnel, connects, Muskö]
  • A. Muskö chosen
    Muskö is an island and locality in the Stockholm archipelago of Sweden, known for its naval base and scenic coastal environment.
  • B. Munksjön
    Munksjön is a small urban lake situated in central Jönköping in southern Sweden, known for its promenades, recreational areas, and proximity to the city’s downtown.
  • C. Korsnäs
    Korsnäs is a small coastal municipality in western Finland known for its Swedish-speaking majority and traditional Ostrobothnian rural culture.
  • D. Svartsö
    Svartsö is a rural, forested island in Sweden’s Stockholm archipelago known for its tranquil atmosphere, small community, and outdoor recreation opportunities.
  • E. Södertörn
    Södertörn is a large peninsula in eastern Sweden, south of Stockholm, known for its mix of suburban areas, forests, and coastline along the Baltic Sea.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2454e615481909c177440be559d2c completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f178a008448190b393335704128fe8 completed April 29, 2026, 3:18 a.m.
Created at: April 17, 2026, 3:14 p.m.