Triple
T777804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swiss Plateau |
E16427
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Limmat River |
E118490
|
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: Limmat River | Statement: [Swiss Plateau, contains, Limmat River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Limmat River Context triple: [Swiss Plateau, contains, Limmat River]
-
A.
Limmat River
chosen
The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
-
B.
Adhaim River
The Adhaim River is a significant river in Iraq that flows through the northeastern part of the country before joining the Tigris.
-
C.
Setun River
The Setun River is a small river in western Moscow, Russia, known as one of the city's few relatively natural waterways and a tributary of the Moskva River.
-
D.
Siul River
The Siul River is a lesser-known river in the northern Indian subcontinent that feeds into the Ravi River within the Indus River basin.
-
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_69a4936ad1fc81908f190208059ccf78 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a74da7648190adfad56717d564df |
completed | March 1, 2026, 8:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad293209648190a380175f85d6efcc |
completed | March 8, 2026, 7:45 a.m. |
Created at: March 1, 2026, 7:37 p.m.