Triple
T391590
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Independent State of Croatia |
E8892
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Zagreb |
E31635
|
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: Zagreb | Statement: [Independent State of Croatia, capital, Zagreb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagreb Context triple: [Independent State of Croatia, capital, Zagreb]
-
A.
Zagreb
chosen
Zagreb is the capital and largest city of Croatia, known as a political, cultural, and economic hub in the Balkans.
-
B.
Sarajevo
Sarajevo is the capital and largest city of Bosnia and Herzegovina, historically known as the site of Archduke Franz Ferdinand’s assassination that sparked World War I.
-
C.
Ljubljana
Ljubljana is the capital and largest city of Slovenia, known for its picturesque old town, Baroque and Art Nouveau architecture, and vibrant cultural scene along the Ljubljanica River.
-
D.
Belgrade
Belgrade is the capital and largest city of Serbia, historically significant as a strategic crossroads between Central Europe and the Balkans on the confluence of the Sava and Danube rivers.
-
E.
Zadar
Zadar is a historic coastal city in Croatia on the Adriatic Sea, known for its Roman and Venetian ruins, medieval churches, and modern seaside installations like the Sea Organ.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec7492288190bf33c9c869a0710f |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a43667f180819099661c2cc5d8b188 |
completed | March 1, 2026, 12:51 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.