Triple
T1985593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academia Gustaviana |
E43131
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Emajõgi River |
E286500
|
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: Emajõgi River | Statement: [Academia Gustaviana, locatedOnRiver, Emajõgi River]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emajõgi River Context triple: [Academia Gustaviana, locatedOnRiver, Emajõgi River]
-
A.
Emajõgi River
chosen
The Emajõgi River is a major waterway in southeastern Estonia that flows through the city of Tartu, connecting Lake Võrtsjärv with Lake Peipus.
-
B.
Tuul River
The Tuul River is a major river in central Mongolia that flows through the capital city, Ulaanbaatar, and plays an important role in the region’s ecology and water supply.
-
C.
Limmat River
The Limmat River is a major Swiss waterway that flows out of Lake Zurich and runs through the city of Zurich before joining the Aare River.
-
D.
Buotama River
The Buotama River is a Siberian waterway in Russia’s Sakha Republic that flows through remote taiga landscapes before joining the Lena River.
-
E.
Magadanka River
The Magadanka River is a small river in Russia’s Magadan Oblast that flows through the city of Magadan and gives the city its name.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8232d788190938f261fd4b2f2fd |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa039cf808190a028fe6383971997 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 4, 2026, 7:37 p.m.