Triple
T16847282
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lužnice River |
E409576
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object |
Dračice
Dračice is a smaller river in the Czech Republic that serves as one of the tributaries feeding into the Lužnice River.
|
E1236129
|
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: Dračice | Statement: [Lužnice River, hasTributary, Dračice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dračice Context triple: [Lužnice River, hasTributary, Dračice]
-
A.
Dubočica
Dubočica was a medieval region in the central Balkans that formed part of the early Serbian state under the rule of Stefan Nemanja.
-
B.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
C.
Dačice
Dačice is a historic town in the Czech Republic, known for its Renaissance chateau and as the place where the first sugar cube was invented.
-
D.
Grintovec
Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
-
E.
Korošec
Korošec is a Slovene surname most notably associated with Anton Korošec, a prominent early 20th-century Slovenian politician and statesman.
- 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: Dračice Triple: [Lužnice River, hasTributary, Dračice]
Generated description
Dračice is a smaller river in the Czech Republic that serves as one of the tributaries feeding into the Lužnice River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dračice Target entity description: Dračice is a smaller river in the Czech Republic that serves as one of the tributaries feeding into the Lužnice River.
-
A.
Dubočica
Dubočica was a medieval region in the central Balkans that formed part of the early Serbian state under the rule of Stefan Nemanja.
-
B.
Klinovec
Klinovec is a prominent mountain in the Czech Republic, known as the highest peak of the Ore Mountains and a popular destination for skiing and outdoor recreation.
-
C.
Dačice
Dačice is a historic town in the Czech Republic, known for its Renaissance chateau and as the place where the first sugar cube was invented.
-
D.
Grintovec
Grintovec is a prominent mountain peak in northern Slovenia, popular with hikers and mountaineers for its challenging routes and panoramic Alpine views.
-
E.
Korošec
Korošec is a Slovene surname most notably associated with Anton Korošec, a prominent early 20th-century Slovenian politician and statesman.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b354eaf081908fe6f84a330d7866 |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb1d555c8190883c82e562b7bfe9 |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbb628208190b0be62a333e7e442 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc3a4b888190bd190b9330e2777d |
completed | May 10, 2026, 5:11 p.m. |
Created at: April 10, 2026, 5:24 a.m.