Triple
T20239501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Päijänne |
E498243
|
entity |
| Predicate | hasTownOnShore |
P969
|
FINISHED |
| Object | Padasjoki |
E1196156
|
NE FINISHED |
How this triple was built (2 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: Padasjoki | Statement: [Lake Päijänne, hasTownOnShore, Padasjoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Padasjoki Context triple: [Lake Päijänne, hasTownOnShore, Padasjoki]
-
A.
Padasjoki
chosen
Padasjoki is a small municipality in southern Finland known for its lakeside landscapes and outdoor recreation opportunities.
-
B.
Kalajoki
Kalajoki is a coastal town and municipality in Northern Ostrobothnia, Finland, known for its long sandy beaches and tourism.
-
C.
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.
-
D.
Kilpisjärvi
Kilpisjärvi is a remote village in northwestern Finnish Lapland, near the borders with Sweden and Norway, known for its Arctic landscapes, hiking opportunities, and proximity to the Saana fell.
-
E.
Kangasala
Kangasala is a Finnish town and municipality in the Pirkanmaa region, known for its scenic ridge landscapes and lakes.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69da6274c58c81909c646eabed6f4f30 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6716dd0b081909d4063150cdc0c02 |
completed | April 20, 2026, 6:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a735b9e5881909ec8672fd82c1068 |
completed | May 18, 2026, 2:03 a.m. |
Created at: April 11, 2026, 11:40 p.m.