Triple

T11888132
Position Surface form Disambiguated ID Type / Status
Subject Central Ostrobothnia E282843 entity
Predicate containsMunicipality P852 FINISHED
Object Halsua
Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
E953364 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: Halsua | Statement: [Central Ostrobothnia, containsMunicipality, Halsua]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Halsua
Context triple: [Central Ostrobothnia, containsMunicipality, Halsua]
  • A. Halske
    Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
  • B. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • C. Halsa
    Halsa is a small village and former municipality located in Møre og Romsdal county in western Norway.
  • D. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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: Halsua
Triple: [Central Ostrobothnia, containsMunicipality, Halsua]
Generated description
Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Halsua
Target entity description: Halsua is a small rural municipality in western Finland known for its forests, lakes, and traditional Finnish countryside.
  • A. Halske
    Halske is a German surname most notably associated with Johann Georg Halske, co-founder of the electrical engineering company Siemens & Halske.
  • B. Hassela
    Hassela is a small rural locality in northern Sweden known for its forested landscape and nearby ski and outdoor recreation areas.
  • C. Halsa
    Halsa is a small village and former municipality located in Møre og Romsdal county in western Norway.
  • D. Heltermaa
    Heltermaa is a small port village on the eastern coast of Hiiumaa Island in Estonia, serving as a key ferry connection to the mainland.
  • E. Harestua
    Harestua is a village in Viken county, Norway, known for its residential community and proximity to the Harestua Solar Observatory.
  • 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_69d6ab2a90b08190a4e818821cc93e6d completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8d3a2860c8190a21af5fcddbd2f1e completed April 10, 2026, 10:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69f417e919548190acbc248879f957ec completed May 1, 2026, 3:03 a.m.
NEDg Description generation batch_69f41f1abaa481908b8a6873a07af848 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f422778a10819093bc2473ef30fe71 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.