Triple
T15330937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kupa |
E366528
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Čabranka
Čabranka is a river in Central Europe that flows along part of the border between Croatia and Slovenia before joining the Kupa.
|
E1150070
|
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: Čabranka | Statement: [Kupa, hasTributary, Čabranka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Čabranka Context triple: [Kupa, hasTributary, Čabranka]
-
A.
Brčko
Brčko is a city in northeastern Bosnia and Herzegovina, known for its strategic location on the Sava River and its status as a self-governing district.
-
B.
Plješevica
Plješevica is a prominent mountain range in the Dinaric Alps, straddling the border region between Croatia and Bosnia and Herzegovina.
-
C.
Bosančica
Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
-
D.
Krnjak
Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
-
E.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
- 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: Čabranka Triple: [Kupa, hasTributary, Čabranka]
Generated description
Čabranka is a river in Central Europe that flows along part of the border between Croatia and Slovenia before joining the Kupa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Čabranka Target entity description: Čabranka is a river in Central Europe that flows along part of the border between Croatia and Slovenia before joining the Kupa.
-
A.
Brčko
Brčko is a city in northeastern Bosnia and Herzegovina, known for its strategic location on the Sava River and its status as a self-governing district.
-
B.
Plješevica
Plješevica is a prominent mountain range in the Dinaric Alps, straddling the border region between Croatia and Bosnia and Herzegovina.
-
C.
Bosančica
Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
-
D.
Krnjak
Krnjak is a small municipality and village located in central Croatia, known for its rural character and mixed ethnic population.
-
E.
Baška
Baška is a popular coastal town and tourist resort on the island of Krk in Croatia, known for its long pebble beach and historic old town.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fef8b1b2d08190a158bf65535ad750 |
completed | May 9, 2026, 9:04 a.m. |
| NEDg | Description generation | batch_69fefb10ba78819094948f5401702e79 |
completed | May 9, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fefbad7de08190aa2479ec0243e3a6 |
completed | May 9, 2026, 9:17 a.m. |
Created at: April 10, 2026, 3:17 a.m.