Triple
T11888134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Ostrobothnia |
E282843
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Perho
Perho is a small rural municipality in western Finland known for its forests, lakes, and traditional countryside landscape.
|
E953366
|
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: Perho | Statement: [Central Ostrobothnia, containsMunicipality, Perho]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Perho Context triple: [Central Ostrobothnia, containsMunicipality, Perho]
-
A.
Perche
Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
-
B.
Perenjori
Perenjori is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding agricultural district.
-
C.
Perahia
Perahia is the surname of renowned American pianist and conductor Murray Perahia, celebrated for his interpretations of the classical and romantic repertoire.
-
D.
Perske
Perske is the birth surname of American actress and cultural icon Lauren Bacall.
-
E.
Lepe
Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
- 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: Perho Triple: [Central Ostrobothnia, containsMunicipality, Perho]
Generated description
Perho is a small rural municipality in western Finland known for its forests, lakes, and traditional countryside landscape.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Perho Target entity description: Perho is a small rural municipality in western Finland known for its forests, lakes, and traditional countryside landscape.
-
A.
Perche
Perche is a historic rural region in northwestern France known for its rolling countryside, forests, and traditional manors.
-
B.
Perenjori
Perenjori is a small rural town in Western Australia known for its grain farming, wildflower displays, and role as a service centre for the surrounding agricultural district.
-
C.
Perahia
Perahia is the surname of renowned American pianist and conductor Murray Perahia, celebrated for his interpretations of the classical and romantic repertoire.
-
D.
Perske
Perske is the birth surname of American actress and cultural icon Lauren Bacall.
-
E.
Lepe
Lepe is a coastal town and municipality in southwestern Spain known for its agriculture, especially strawberry production, and its beaches near the Atlantic Ocean.
- 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.