Triple
T1163695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Belgrade |
E24551
|
entity |
| Predicate | locatedOnRiver |
P165
|
FINISHED |
| Object | Sava |
E75220
|
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: Sava | Statement: [Belgrade, locatedOnRiver, Sava]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sava Context triple: [Belgrade, locatedOnRiver, Sava]
-
A.
Sava
chosen
Sava is a major river in Central and Southeastern Europe that flows through countries including Slovenia, Croatia, Bosnia and Herzegovina, and Serbia before joining the Danube.
-
B.
Istra River
The Istra River is a waterway in the Moscow region of Russia that flows through the town of Istra before joining the Moskva River.
-
C.
Neretva
Neretva is a major river in the western Balkans, known for its emerald-green waters, deep canyons, and historic bridges such as the Stari Most in Mostar.
-
D.
Drina
The Drina is a significant river in the western Balkans, forming much of the border between Bosnia and Herzegovina and Serbia and known for its scenic canyons and historical importance.
-
E.
Drava
The Drava is a major Central European river that flows through countries including Italy, Austria, Slovenia, Croatia, and Hungary before joining the Danube.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcc9dc5081908e225a485186ab12 |
completed | March 1, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1c90c95081908af02d73f7d762ee |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 7:45 p.m.