Triple
T18066981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Croatia |
E432318
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Jastrebarsko area |
—
|
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: Jastrebarsko area | Statement: [Central Croatia, contains, Jastrebarsko area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jastrebarsko area Context triple: [Central Croatia, contains, Jastrebarsko area]
-
A.
Zagreb region
The Zagreb region is an area in northwestern Croatia centered on the capital city of Zagreb, known as a cultural, economic, and administrative hub where the Kajkavian dialect of Croatian is traditionally used.
-
B.
Bijeljina region
The Bijeljina region is an area in northeastern Bosnia and Herzegovina known for its agricultural plains and as part of the historical region of Semberija.
-
C.
Jastrebarsko
chosen
Jastrebarsko is a small historic town in central Croatia known for its wine-growing region and cultural heritage.
-
D.
Bjelovar
Bjelovar is a city in central Croatia known as an administrative, cultural, and economic center of the Bjelovar-Bilogora County.
-
E.
Baščaršija
Baščaršija is Sarajevo’s historic Ottoman-era bazaar and cultural center, known for its narrow cobbled streets, traditional shops, and iconic architecture.
- 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cce97ce08190a2f8762ce545e091 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.