Triple
T15774704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Upper Morava Valley |
E382459
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Uničov
Uničov is a historic town in the Olomouc Region of the Czech Republic, known as one of the country’s oldest royal towns with a well-preserved medieval center.
|
E1175632
|
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: Uničov | Statement: [Upper Morava Valley, containsTown, Uničov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uničov Context triple: [Upper Morava Valley, containsTown, Uničov]
-
A.
Udava
Udava is a river in eastern Slovakia that serves as a tributary of the Laborec River.
-
B.
Junkovac
Junkovac is a small settlement located within the municipality of Lazarevac in Serbia.
-
C.
Rušanj
Rušanj is a suburban settlement of Belgrade, Serbia, located within the municipality of Čukarica.
-
D.
Valtice
Valtice is a historic town in the South Moravian Region of the Czech Republic, renowned for its Baroque chateau, vineyards, and role as a key part of the Lednice–Valtice cultural landscape.
-
E.
Njeguši
Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
- 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: Uničov Triple: [Upper Morava Valley, containsTown, Uničov]
Generated description
Uničov is a historic town in the Olomouc Region of the Czech Republic, known as one of the country’s oldest royal towns with a well-preserved medieval center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Uničov Target entity description: Uničov is a historic town in the Olomouc Region of the Czech Republic, known as one of the country’s oldest royal towns with a well-preserved medieval center.
-
A.
Udava
Udava is a river in eastern Slovakia that serves as a tributary of the Laborec River.
-
B.
Junkovac
Junkovac is a small settlement located within the municipality of Lazarevac in Serbia.
-
C.
Rušanj
Rušanj is a suburban settlement of Belgrade, Serbia, located within the municipality of Čukarica.
-
D.
Valtice
Valtice is a historic town in the South Moravian Region of the Czech Republic, renowned for its Baroque chateau, vineyards, and role as a key part of the Lednice–Valtice cultural landscape.
-
E.
Njeguši
Njeguši is a historic Montenegrin village in the mountains of the Lovćen region, renowned as the birthplace of the Petrović-Njegoš dynasty and for its traditional smoked ham and cheese.
- 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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877e67b881908a67b9acc79d998f |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff88358e408190a8d7424fc495d4fa |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88f192a08190acbc2c3fc98c65c8 |
completed | May 9, 2026, 7:20 p.m. |
Created at: April 10, 2026, 4:47 a.m.