Triple
T1609689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rawal Lake |
E34588
|
entity |
| Predicate | outflow |
P967
|
FINISHED |
| Object | Korang River |
E390813
|
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: Korang River | Statement: [Rawal Lake, outflow, Korang River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Korang River Context triple: [Rawal Lake, outflow, Korang River]
-
A.
Korang River
chosen
Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
-
B.
Merkys River
The Merkys River is a significant river in southern Lithuania and northeastern Belarus, known for its scenic valleys and role in regional ecosystems before joining the Neman.
-
C.
Warta River
The Warta River is a major river in western and central Poland, flowing through cities such as Poznań before joining the Oder River.
-
D.
Nyari River
The Nyari River is a regional river in the Indian state of Gujarat that flows through and helps sustain the city of Rajkot.
-
E.
Styr River
The Styr River is a waterway in western Ukraine that flows through the city of Lutsk and is a tributary of the Pripyat River.
- 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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622a84548190a66d45eec70f9b85 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b511ebd11c8190ba5a6917d3731de9 |
completed | March 14, 2026, 7:44 a.m. |
Created at: March 4, 2026, 7:28 p.m.