Triple
T15463472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Operation T |
E371963
|
entity |
| Predicate | location |
P40
|
FINISHED |
| Object | Tornio |
E175026
|
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: Tornio | Statement: [Operation T, location, Tornio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tornio Context triple: [Operation T, location, Tornio]
-
A.
Tornio
chosen
Tornio is a Finnish town located at the northern end of the Gulf of Bothnia, known for its cross-border connection with Sweden and its long history as a trading and industrial center.
-
B.
Tornionjoki
Tornionjoki is a river forming part of the border between Sweden and Finland, known for its salmon fishing and its course into the northern Gulf of Bothnia.
-
C.
Seinäjoki River
Seinäjoki River is a watercourse in western Finland that flows through and gives its name to the city of Seinäjoki.
-
D.
Otava River
The Otava River is a significant river in the Czech Republic that flows through the Bohemian Forest and South Bohemian landscapes before joining the Vltava River.
-
E.
Nokianvirta River
The Nokianvirta River is a waterway in southwestern Finland that flows through the town of Nokia and has historically influenced the region’s settlement and industry.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f1927708190a0d2b63e75469a0e |
completed | April 16, 2026, 1:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff365504488190a6f43d82d008c855 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:32 a.m.