Triple

T22173679
Position Surface form Disambiguated ID Type / Status
Subject Waxholmsbolaget ferries E547986 entity
Predicate connects P390 FINISHED
Object Möja 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: Möja | Statement: [Waxholmsbolaget ferries, connects, Möja]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Möja
Context triple: [Waxholmsbolaget ferries, connects, Möja]
  • A. Möja chosen
    Möja is a scenic inhabited island in Sweden’s Stockholm archipelago, known for its traditional fishing villages, guest harbors, and popular summer tourism.
  • B. Maloja
    Maloja is a small Swiss mountain village and pass in the Upper Engadine region of the canton of Graubünden, known for its scenic alpine landscapes and access to nearby lakes and hiking trails.
  • C. Majgull
    Majgull is a Swedish given name, notably borne by the acclaimed author Majgull Axelsson.
  • D. Migjorn
    Migjorn is a comarca (county) in the southeast of the island of Mallorca in Spain’s Balearic Islands.
  • E. Migjorn
    Migjorn is a long, tranquil sandy beach on the southern coast of Formentera, known for its clear waters and relatively unspoiled, relaxed atmosphere.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6a9370819098ad65fede676c2b completed April 28, 2026, 9:45 p.m.
Created at: April 16, 2026, 8:34 p.m.