Triple
T16206122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tábor District |
E393331
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Opařany
Opařany is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historical architecture.
|
E1230473
|
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: Opařany | Statement: [Tábor District, contains, Opařany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opařany Context triple: [Tábor District, contains, Opařany]
-
A.
Porvořany
Porvořany is a small municipality in the Czech Republic known in part for its international town-twinning partnership with Porvoo, Finland.
-
B.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
C.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
D.
Býchory
Býchory is a small village in the Central Bohemian Region of the Czech Republic, known as the birthplace of conductor and composer Rafael Kubelík.
-
E.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
- 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: Opařany Triple: [Tábor District, contains, Opařany]
Generated description
Opařany is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historical architecture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Opařany Target entity description: Opařany is a small municipality and village in the South Bohemian Region of the Czech Republic, known for its rural character and historical architecture.
-
A.
Porvořany
Porvořany is a small municipality in the Czech Republic known in part for its international town-twinning partnership with Porvoo, Finland.
-
B.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
C.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
-
D.
Býchory
Býchory is a small village in the Central Bohemian Region of the Czech Republic, known as the birthplace of conductor and composer Rafael Kubelík.
-
E.
Svitavy
Svitavy is a town in the Czech Republic best known as the birthplace of Oskar Schindler, the industrialist who saved hundreds of Jews during the Holocaust.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e2270f047c819084645da27759a3d2 |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d25abec8190954b640b63efa0c2 |
completed | May 10, 2026, 2:58 p.m. |
| NEDg | Description generation | batch_6a009ee751e48190aba4628028a41ccc |
completed | May 10, 2026, 3:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009f51fcb0819095cd9d4bd8288af9 |
completed | May 10, 2026, 3:08 p.m. |
Created at: April 10, 2026, 5:03 a.m.