Triple

T8770788
Position Surface form Disambiguated ID Type / Status
Subject Larsmo E208453 entity
Predicate hasNameInSwedish P11737 FINISHED
Object Larsmo E208453 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: Larsmo | Statement: [Larsmo, hasNameInSwedish, Larsmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Larsmo
Context triple: [Larsmo, hasNameInSwedish, Larsmo]
  • A. Larsmo chosen
    Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • B. Lofsrud
    Lofsrud is a residential area and neighborhood within the Søndre Nordstrand borough of Oslo, Norway.
  • C. Lönnbohm
    Lönnbohm is the original family name of the renowned Finnish poet and journalist Eino Leino.
  • D. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • E. Alvik
    Alvik is a district in western Stockholm known as a key public transport hub, particularly for its tram and metro connections.
  • 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_69ca835edb4481909b4aafb616dc5eb7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5f2b08f881909f3d4fab2eda1d67 completed March 31, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf51b7d05c8190b84e02a8796d3422 completed April 3, 2026, 5:35 a.m.
Created at: March 30, 2026, 6:41 p.m.