Triple
T2057144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Włodawa |
E45699
|
entity |
| Predicate | borderRiver |
P224
|
FINISHED |
| Object | Bug River |
E78028
|
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: Bug River | Statement: [Włodawa, borderRiver, Bug River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bug River Context triple: [Włodawa, borderRiver, Bug River]
-
A.
Bug River
chosen
The Bug River is a major river in Eastern Europe that flows through Poland, Belarus, and Ukraine, forming part of the border between Poland and Belarus.
-
B.
Mutirikwi River
Mutirikwi River is a river in southeastern Zimbabwe that flows near the ancient stone city of Great Zimbabwe and feeds Lake Mutirikwi.
-
C.
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.
-
D.
Situk River
The Situk River is a renowned Alaskan river famous for its pristine waters and exceptional wild salmon and steelhead fishing.
-
E.
Yeso River
The Yeso River is a significant Andean watercourse in central Chile that feeds into the Maipo River and helps supply water to the Santiago metropolitan region.
- 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_69a8891a19508190a12ef1e192308dcb |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9abdb088190991a620e01dc226f |
completed | March 7, 2026, 5:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5a80f97f88190b502bca0547f03a0 |
completed | March 14, 2026, 6:25 p.m. |
Created at: March 4, 2026, 7:40 p.m.