Triple
T20725566
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brod-Posavina County |
E509425
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object | Nova Gradiška |
—
|
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: Nova Gradiška | Statement: [Brod-Posavina County, containsTown, Nova Gradiška]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nova Gradiška Context triple: [Brod-Posavina County, containsTown, Nova Gradiška]
-
A.
Nova Gradiška
chosen
Nova Gradiška is a town in eastern Croatia known as a regional center in the Brod-Posavina County near the border with Bosnia and Herzegovina.
-
B.
Novi Grad
Novi Grad is the fictional capital city of the Eastern European nation Sokovia in the Marvel Cinematic Universe.
-
C.
Stara Gradiška
Stara Gradiška is a village in Croatia known historically as the site of a notorious World War II concentration camp operated by the Ustaše regime.
-
D.
Nova Gorica
Nova Gorica is a Slovenian town on the border with Italy, known for its post-World War II development as a planned city and its close integration with the neighboring Italian town of Gorizia.
-
E.
Donji Grad
Donji Grad is the central, historic downtown district of Zagreb, known for its 19th-century architecture, cultural institutions, and major city squares.
- 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_69e0b4c4cc648190b45fda6e2b20af56 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c1e7aabc819084f9e9fd45e877fd |
completed | April 21, 2026, 12:16 a.m. |
Created at: April 16, 2026, 12:29 p.m.