Triple
T6825447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kajkavian dialect |
E157002
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object |
Podravina
Podravina is a region in northern Croatia along the Drava River, known for its rural landscapes, traditional culture, and use of the Kajkavian dialect.
|
E621583
|
NE FINISHED |
How this triple was built (4 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: Podravina | Statement: [Kajkavian dialect, region, Podravina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Podravina Context triple: [Kajkavian dialect, region, Podravina]
-
A.
Pakoštane
Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
-
B.
Vejprnice
Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
-
C.
Žepa
Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
-
D.
Labná
Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
-
E.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Podravina Triple: [Kajkavian dialect, region, Podravina]
Generated description
Podravina is a region in northern Croatia along the Drava River, known for its rural landscapes, traditional culture, and use of the Kajkavian dialect.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Podravina Target entity description: Podravina is a region in northern Croatia along the Drava River, known for its rural landscapes, traditional culture, and use of the Kajkavian dialect.
-
A.
Pakoštane
Pakoštane is a coastal village and popular tourist destination in Croatia, situated between the Adriatic Sea and Lake Vrana.
-
B.
Vejprnice
Vejprnice is a municipality and village in the Plzeň Region of the Czech Republic, located just west of the city of Plzeň.
-
C.
Žepa
Žepa is a small town in eastern Bosnia and Herzegovina that became known as a UN-declared "safe area" and site of a tragic episode during the Bosnian War.
-
D.
Labná
Labná is a small ancient Maya archaeological site in Mexico’s Yucatán Peninsula, noted for its ornate Puuc-style architecture and iconic arched gateway.
-
E.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
- F. None of above. chosen
Provenance (5 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d581ea5881908ba78c6bf1ce58ee |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c723f12a148190adbb05782a2041b6 |
completed | March 28, 2026, 12:42 a.m. |
| NEDg | Description generation | batch_69c7251ec97c819094fb2a73ac1d1d0e |
completed | March 28, 2026, 12:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c725d04d988190a4a6a1c73056cfd7 |
completed | March 28, 2026, 12:50 a.m. |
Created at: March 27, 2026, 2:18 p.m.