Triple
T3556043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sava |
E75220
|
entity |
| Predicate | majorTributary |
P415
|
FINISHED |
| Object |
Kupa
Kupa is a river in Central Europe that flows through Croatia and Slovenia before joining the Sava River.
|
E366528
|
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: Kupa | Statement: [Sava, majorTributary, Kupa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kupa Context triple: [Sava, majorTributary, Kupa]
-
A.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
B.
Dravinja
Dravinja is a river in northeastern Slovenia that flows through the Dravinja Valley before joining the Drava River.
-
C.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
D.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
E.
Nidzica
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
- 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: Kupa Triple: [Sava, majorTributary, Kupa]
Generated description
Kupa is a river in Central Europe that flows through Croatia and Slovenia before joining the Sava River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kupa Target entity description: Kupa is a river in Central Europe that flows through Croatia and Slovenia before joining the Sava River.
-
A.
Bassein
Bassein is a historic coastal town in western India, now known as Vasai, notable for its strategic port and colonial-era fortifications that played a key role in regional power struggles.
-
B.
Dravinja
Dravinja is a river in northeastern Slovenia that flows through the Dravinja Valley before joining the Drava River.
-
C.
Morava
Morava is a Central European river that forms part of the border between Austria, the Czech Republic, and Slovakia before joining the Danube near Bratislava.
-
D.
Tribeni
Tribeni is a town in West Bengal, India, historically known as a sacred confluence point of rivers and an important riverside settlement.
-
E.
Nidzica
Nidzica is a historic town in northern Poland known for its well-preserved medieval Teutonic castle and picturesque surroundings.
- 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_69ad85d45090819086f34fb85d850a1e |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc0569fbc81909b855b6990c1415b |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b38bf40dac8190837053dd315303af |
completed | March 13, 2026, 4 a.m. |
| NEDg | Description generation | batch_69b38c6e70a88190805de417a8740d64 |
completed | March 13, 2026, 4:02 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b38cd2c540819083d3188c2dea7283 |
completed | March 13, 2026, 4:04 a.m. |
Created at: March 8, 2026, 3:20 p.m.