Triple

T10060775
Position Surface form Disambiguated ID Type / Status
Subject Lohja E212980 entity
Predicate hasNeighboringMunicipality P224 FINISHED
Object Karkkila
Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
E840108 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: Karkkila | Statement: [Lohja, hasNeighboringMunicipality, Karkkila]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karkkila
Context triple: [Lohja, hasNeighboringMunicipality, Karkkila]
  • A. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • B. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • E. Säkylä
    Säkylä is a municipality in southwestern Finland known for its rural landscapes, proximity to Lake Pyhäjärvi, and military garrison.
  • 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: Karkkila
Triple: [Lohja, hasNeighboringMunicipality, Karkkila]
Generated description
Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karkkila
Target entity description: Karkkila is a small town and municipality in southern Finland known for its industrial history and surrounding lakes and forests.
  • A. Kärkölä
    Kärkölä is a small municipality in southern Finland known for its rural character and historical ties to notable Finnish figures.
  • B. Tikkakoski
    Tikkakoski is a district in Jyväskylä, Finland, known for its military air base and role as a key center for the Finnish Air Force.
  • C. Kauriala
    Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
  • D. Kajansi
    Kajansi is a township in Uganda located near Kampala, known for its strategic position along the Kampala–Entebbe road and its local market and trading activities.
  • E. Säkylä
    Säkylä is a municipality in southwestern Finland known for its rural landscapes, proximity to Lake Pyhäjärvi, and military garrison.
  • 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_69ca83977128819084084eb7d1d8c52a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdcfd1fc98819082ec3f2f91151955 completed April 2, 2026, 2:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2b624191c819093b8392b5573fa96 completed April 5, 2026, 7:21 p.m.
NEDg Description generation batch_69d2b741cad481909f04e2f8da68753c completed April 5, 2026, 7:25 p.m.
NED2 Entity disambiguation (via description) batch_69d2b805afa08190a43745d764a75050 completed April 5, 2026, 7:29 p.m.
Created at: March 30, 2026, 8:57 p.m.