Triple
T1512846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gulf of Bothnia |
E32052
|
entity |
| Predicate | majorRiverInflows |
P19059
|
FINISHED |
| Object | Lule River |
E172666
|
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: Lule River | Statement: [Gulf of Bothnia, majorRiverInflows, Lule River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lule River Context triple: [Gulf of Bothnia, majorRiverInflows, Lule River]
-
A.
Lule River
chosen
The Lule River is a major river in northern Sweden that flows through Lapland and Norrbotten before emptying into the Bothnian Bay of the Baltic Sea.
-
B.
Ångerman River
The Ångerman River is a major river in northern Sweden known for its long course through forested landscapes before emptying into the Gulf of Bothnia.
-
C.
Buotama River
The Buotama River is a Siberian waterway in Russia’s Sakha Republic that flows through remote taiga landscapes before joining the Lena River.
-
D.
Min River
The Min River is a significant river in southwestern China that flows through Sichuan Province and plays a key role in the region’s ecology, agriculture, and water resources.
-
E.
Musi River
The Musi River is a significant river in the Deccan region of India that flows through the city of Hyderabad, historically shaping its development and water supply.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa61dc6ab881908b22aa7a5295bf21 |
completed | March 6, 2026, 5:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58b487c08190bb2b1c259bd39db0 |
completed | March 8, 2026, 11:08 a.m. |
Created at: March 4, 2026, 7:26 p.m.