Triple
T14089871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Úpa River |
E339098
|
entity |
| Predicate | hasNameInCzech |
P17790
|
FINISHED |
| Object |
Úpa
Úpa is a river in the Czech Republic that flows through the Krkonoše (Giant Mountains) region before joining the Labe (Elbe) River.
|
E1080212
|
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: Úpa | Statement: [Úpa River, hasNameInCzech, Úpa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Úpa Context triple: [Úpa River, hasNameInCzech, Úpa]
-
A.
Upo
Upo is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Pojulu
Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
-
C.
Opoji
Opoji is a town and traditional community within the Esan ethnic area of Edo State, Nigeria, known for its indigenous customs and local governance structures.
-
D.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
E.
Upurui
Upurui is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
- 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: Úpa Triple: [Úpa River, hasNameInCzech, Úpa]
Generated description
Úpa is a river in the Czech Republic that flows through the Krkonoše (Giant Mountains) region before joining the Labe (Elbe) River.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Úpa Target entity description: Úpa is a river in the Czech Republic that flows through the Krkonoše (Giant Mountains) region before joining the Labe (Elbe) River.
-
A.
Upo
Upo is a rural barangay in the municipality of Maitum in the province of Sarangani, Philippines.
-
B.
Pojulu
Pojulu are an ethnic group of South Sudan, primarily inhabiting parts of Central Equatoria and speaking a Bari-related Nilotic language.
-
C.
Opoji
Opoji is a town and traditional community within the Esan ethnic area of Edo State, Nigeria, known for its indigenous customs and local governance structures.
-
D.
Pischa
Pischa is a mountain area and ski region near Davos in the Swiss Alps, known for its freeride terrain and winter sports opportunities.
-
E.
Upurui
Upurui is an alternative name for the Wayana language, an indigenous Cariban language spoken by the Wayana people in parts of Brazil, Suriname, and French Guiana.
- 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_69d81c687b0c819087fd9ed4198403f8 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de5ee3213c8190af2853a2a5b302a2 |
completed | April 14, 2026, 3:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd0a7aab88190949cf1fd8e11b050 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd5ad82388190a196d811734cdca2 |
completed | May 7, 2026, 6:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd63a114881909ff7b2df937d24df |
completed | May 7, 2026, 6:13 p.m. |
Created at: April 9, 2026, 10:21 p.m.