Triple

T1845934
Position Surface form Disambiguated ID Type / Status
Subject Ostrobothnia E41282 entity
Predicate hasMunicipality P847 FINISHED
Object Larsmo
Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
 E208453 NE FINISHED

How this triple was built (4 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: [Ostrobothnia, hasMunicipality, Larsmo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Larsmo
Context triple: [Ostrobothnia, hasMunicipality, Larsmo]
  • A. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • B. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • C. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • E. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Larsmo
Triple: [Ostrobothnia, hasMunicipality, Larsmo]
Generated description
Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Larsmo
Target entity description: Larsmo is a coastal municipality in western Finland known for its archipelago and Swedish-speaking majority population.
  • A. Loarki
    Loarki is a lesser-known dialect of the Rajasthani language spoken by specific communities in the northwestern Indian subcontinent.
  • B. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • C. Solbo
    Solbo is a locality within Botkyrka Municipality in Stockholm County, Sweden.
  • D. Tengbom
    Tengbom is a prominent Swedish architectural firm known for its influential role in shaping modern Scandinavian architecture.
  • E. Lorens
    Lorens is a character from Paulo Coelho’s novel "Brida," serving as one of the key figures in the protagonist’s spiritual and personal journey.
  • F. None of above. chosen

Provenance (5 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_69a88648cd44819093303206d96d76ad completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb051640c819088a8b28a03f57331 completed March 7, 2026, 4:57 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1c6941081909cef987ebe4b4d6c completed March 8, 2026, 7:45 p.m.
NEDg Description generation batch_69add28a8f848190bf6ea0924e7dd9fc completed March 8, 2026, 7:48 p.m.
NED2 Entity disambiguation (via description) batch_69add37ad9a481908b2a1476a8d33091 completed March 8, 2026, 7:52 p.m.
Created at: March 4, 2026, 7:33 p.m.