Triple
T9315768
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Przemyśl |
E224114
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | San River |
E302858
|
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: San River | Statement: [Przemyśl, locatedOn, San River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: San River Context triple: [Przemyśl, locatedOn, San River]
-
A.
San River
chosen
The San River is a major river in southeastern Poland and western Ukraine, known for flowing through the Carpathian foothills and forming part of the Polish–Ukrainian border.
-
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.
Satilla River
The Satilla River is a blackwater river in southeastern Georgia that flows through coastal plains and wetlands before emptying into the Atlantic Ocean.
-
D.
Blanco River
The Blanco River is a spring-fed river in central Texas known for its clear waters, scenic limestone banks, and popularity for swimming, tubing, and fishing.
-
E.
Salí River
The Salí River is a major watercourse in northern Argentina that supports regional agriculture, hydroelectric power generation, and urban water supply.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd358846e48190a8aacfab19d88ae7 |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d189e115d8819092c3ecbeec8b450f |
completed | April 4, 2026, 10 p.m. |
Created at: March 30, 2026, 7:37 p.m.