Triple
T4221321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panevėžys |
E94346
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Nevėžis River |
E372309
|
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: Nevėžis River | Statement: [Panevėžys, locatedOnRiver, Nevėžis River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevėžis River Context triple: [Panevėžys, locatedOnRiver, Nevėžis River]
-
A.
Nevėžis River
chosen
The Nevėžis River is one of Lithuania’s major rivers, flowing through the central part of the country and playing an important role in its regional landscape and settlements.
-
B.
Emme River
The Emme River is a Swiss river flowing through the Emmental region and the Swiss Plateau, known for its picturesque valleys and historical flooding events.
-
C.
Neches River
The Neches River is a major waterway in eastern Texas that flows from near Tyler to the Gulf of Mexico, supporting regional ecosystems, industry, and recreation.
-
D.
Eerste River
Eerste River is a prominent waterway in South Africa’s Western Cape that flows through the Stellenbosch region and supports its agriculture and ecosystems.
-
E.
Tüp River
The Tüp River is a mountain river in northeastern Kyrgyzstan that flows into Lake Issyk-Kul, contributing to the lake’s freshwater inflow.
- 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_69b3451997e08190851db4a9a588837d |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b34e0e06d881908e3aa8ef1a90c010 |
completed | March 12, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8ac74f44c8190953e486d3a315a64 |
completed | March 29, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:04 p.m.