Triple
T16893677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dzūkija |
E424239
|
entity |
| Predicate | traversedByRiver |
P165
|
FINISHED |
| Object | Neris River |
E109196
|
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: Neris River | Statement: [Dzūkija, traversedByRiver, Neris River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Neris River Context triple: [Dzūkija, traversedByRiver, Neris River]
-
A.
Neris River
chosen
The Neris River is a major river in Belarus and Lithuania that flows through the city of Kaunas before joining the Nemunas River.
-
B.
Nemunas River
The Nemunas River is the largest river in Lithuania, flowing through major cities like Kaunas and forming part of the country’s border before emptying into the Curonian Lagoon.
-
C.
Akmena-Danė River
The Akmena-Danė River is a waterway in western Lithuania that flows through the port city of Klaipėda before emptying into the Curonian Lagoon.
-
D.
Šalčia River
The Šalčia River is a smaller river in southeastern Lithuania that flows through forested and rural areas before joining the Merkys River.
-
E.
Vaivase River
Vaivase River is a waterway in Samoa that flows through the area of Apia, contributing to the capital’s local watershed and landscape.
- 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_69d889da3e8c8190a2b118f383f0beac |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e3bbc6b97c8190b18aca477d6ef647 |
completed | April 18, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ecafd908190b8a1513138a29303 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:29 a.m.