Triple
T10928564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pripyat River |
E258137
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | Styr River |
E96034
|
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: Styr River | Statement: [Pripyat River, hasTributary, Styr River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Styr River Context triple: [Pripyat River, hasTributary, Styr River]
-
A.
Styr River
chosen
The Styr River is a waterway in western Ukraine that flows through the city of Lutsk and is a tributary of the Pripyat River.
-
B.
Strickland River
Strickland River is a major river in Papua New Guinea that flows through remote rainforest regions before joining the Fly River system.
-
C.
Korang River
Korang River is a stream in Pakistan that serves as a primary inflow to Rawal Lake near Islamabad.
-
D.
Oinountas River
The Oinountas River is a tributary watercourse in the Peloponnese region of southern Greece that feeds into the larger Eurotas River system.
-
E.
Schussen River
The Schussen River is a waterway in southern Germany that flows through the Upper Swabia region before emptying into Lake Constance.
- 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_69d6aa864ed88190818280ab6791d065 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7709da23c819096f4bba1cd4ff5cb |
completed | April 9, 2026, 9:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce593bbc8190827ca217f43140b9 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 8, 2026, 9:22 p.m.