Triple
T1009484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gassel |
E21788
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Maas River |
E25262
|
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: Maas River | Statement: [Gassel, locatedNear, Maas River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maas River Context triple: [Gassel, locatedNear, Maas River]
-
A.
Kama River
The Kama River is a major waterway in western Russia that serves as one of the largest and most significant tributaries of the Volga River.
-
B.
Mula River
The Mula River is a major river in the Indian state of Maharashtra that flows through the city of Pune and forms part of its urban river system.
-
C.
Maas
chosen
The Maas, also known as the Meuse, is a major European river flowing through France, Belgium, and the Netherlands before emptying into the North Sea.
-
D.
Kosi
Kosi is a major Himalayan river in northern India and Nepal, often called the "Sorrow of Bihar" for its frequent and devastating floods before joining the Ganges.
-
E.
Limpopo River
The Limpopo River is a major river in southern Africa that flows eastward from central southern Africa to the Indian Ocean, forming parts of the borders between several countries including South Africa, Botswana, and Zimbabwe.
- 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_69a493c53e648190ae8cb76c433fd9a7 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7a3cb608190a2de34a09cd55146 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acce53fd1c81909b3715231ad09b91 |
completed | March 8, 2026, 1:18 a.m. |
Created at: March 1, 2026, 7:41 p.m.