Triple
T21794564
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalj |
E538059
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Osijek |
—
|
NE NERFINISHED |
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: Osijek | Statement: [Dalj, locatedNear, Osijek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Osijek Context triple: [Dalj, locatedNear, Osijek]
-
A.
Osijek
chosen
Osijek is a prominent city in eastern Croatia known as an economic, cultural, and educational center of the Slavonia region.
-
B.
Karlovac
Karlovac is a historic Croatian city strategically located at the confluence of four rivers, known for its star-shaped Renaissance fortress and role as a key military and trading center.
-
C.
Jastrebarsko
Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
-
D.
Zagreb
Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
-
E.
Slavonski Brod
Slavonski Brod is a major city in eastern Croatia situated on the border with Bosnia and Herzegovina, known as an important industrial and transport hub on the Sava River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0622329b08190b8cd9be714aca456 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 16, 2026, 6:53 p.m.