Triple
T10073308
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pirkanmaa |
E213681
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Kihniö
Kihniö is a small rural municipality in western Finland known for its forests, lakes, and location within the Pirkanmaa region.
|
E840380
|
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: Kihniö | Statement: [Pirkanmaa, containsMunicipality, Kihniö]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kihniö Context triple: [Pirkanmaa, containsMunicipality, Kihniö]
-
A.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
-
B.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
C.
Kihikihi
Kihikihi is a small town in New Zealand’s Waikato region, known for its rural character and proximity to the larger center of Te Awamutu.
-
D.
Kiukainen
Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
-
E.
Kruununhaka
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
- 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: Kihniö Triple: [Pirkanmaa, containsMunicipality, Kihniö]
Generated description
Kihniö is a small rural municipality in western Finland known for its forests, lakes, and location within the Pirkanmaa region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kihniö Target entity description: Kihniö is a small rural municipality in western Finland known for its forests, lakes, and location within the Pirkanmaa region.
-
A.
Kihlaus
Kihlaus is a comedic play by Finnish author Aleksis Kivi, known for its humorous portrayal of rural life and courtship.
-
B.
Keilaniemi
Keilaniemi is a coastal district in Espoo, Finland, known as a major business hub hosting numerous corporate headquarters and high-rise office buildings.
-
C.
Kihikihi
Kihikihi is a small town in New Zealand’s Waikato region, known for its rural character and proximity to the larger center of Te Awamutu.
-
D.
Kiukainen
Kiukainen was a former municipality in western Finland, located in the Satakunta region and known for its archaeological sites and rural character.
-
E.
Kruununhaka
Kruununhaka is a historic central district of Helsinki known for its governmental buildings, neoclassical architecture, and proximity to the city’s main waterfront and landmarks.
- 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_69ca839add308190b57d53b4ec21f2d0 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdd015ad488190aee3a2bfb58fb855 |
completed | April 2, 2026, 2:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b649b7488190ad765d4ee6eac5d7 |
completed | April 5, 2026, 7:21 p.m. |
| NEDg | Description generation | batch_69d2b78f3c248190b104937e2d669882 |
completed | April 5, 2026, 7:27 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2b84a26a481908ab2705d5883cfce |
completed | April 5, 2026, 7:30 p.m. |
Created at: March 30, 2026, 8:59 p.m.