Triple
T1829909
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southwest Finland |
E40737
|
entity |
| Predicate | containsMunicipality |
P852
|
FINISHED |
| Object |
Laitila
Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
|
E203445
|
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: Laitila | Statement: [Southwest Finland, containsMunicipality, Laitila]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laitila Context triple: [Southwest Finland, containsMunicipality, Laitila]
-
A.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
B.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
C.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
-
D.
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.
-
E.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
- 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: Laitila Triple: [Southwest Finland, containsMunicipality, Laitila]
Generated description
Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laitila Target entity description: Laitila is a small town and municipality in southwestern Finland known for its rural landscapes and local food and beverage industries.
-
A.
Kauriala
Kauriala is an alternative name for the Ghaghara, a major Himalayan river that flows through Nepal and northern India before joining the Ganges.
-
B.
Sastamala
Sastamala is a town and municipality in southwestern Finland known for its historical churches, cultural heritage, and scenic lakeside landscapes.
-
C.
Oulainen
Oulainen is a small town and municipality in Northern Ostrobothnia, Finland, known for its rural character and local cultural events.
-
D.
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.
-
E.
Taivalkoski
Taivalkoski is a rural municipality in Northern Ostrobothnia, Finland, known for its forests, lakes, and outdoor recreation opportunities.
- 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_69a8864644bc8190b2358ab897194ac1 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abb0144cc08190abd1a6cf44e64daf |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf6d49988190b8cb1773609a379b |
completed | March 8, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69adc07fff60819092b10dd0e417ac5a |
completed | March 8, 2026, 6:31 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adc0fd79c48190864f53a90517edc6 |
completed | March 8, 2026, 6:33 p.m. |
Created at: March 4, 2026, 7:32 p.m.