Triple
T1037329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kemi |
E22392
|
entity |
| Predicate | river |
P165
|
FINISHED |
| Object | Kemijoki |
E122150
|
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: Kemijoki | Statement: [Kemi, river, Kemijoki]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kemijoki Context triple: [Kemi, river, Kemijoki]
-
A.
Kemijoki
chosen
Kemijoki is the longest river in Finland, flowing through Lapland to the Gulf of Bothnia and serving as a major source of hydroelectric power.
-
B.
Kemi
Kemi is a coastal town in northern Finland known for its port, paper industry, and popular winter attractions like the SnowCastle.
-
C.
Ladoga Karelia
Ladoga Karelia is a historical region in southeastern Finland, bordering Lake Ladoga, that was ceded to the Soviet Union after the Winter War.
-
D.
Terjola
Terjola is a small city in western Georgia known for its location in the Imereti region and its surrounding wine-producing areas.
-
E.
Lake Saimaa
Lake Saimaa is Finland’s largest lake, a vast labyrinthine freshwater system in the southeast known for its intricate shoreline, islands, and the endangered Saimaa ringed seal.
- 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_69a493d848848190aed4011b34b2e8d3 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b82a1014819085bfc077e24c9742 |
completed | March 1, 2026, 10:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42990be88190aeda5ec08fce5288 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:41 p.m.