Triple
T2663705
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň Region |
E54782
|
entity |
| Predicate | hasMunicipalityWithExtendedPowers |
P41272
|
FINISHED |
| Object |
Kralovice
Kralovice is a small town in the western Czech Republic known for its historical architecture and role as a local administrative center.
|
E310592
|
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: Kralovice | Statement: [Plzeň Region, hasMunicipalityWithExtendedPowers, Kralovice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kralovice Context triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Kralovice]
-
A.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
B.
Kralupy nad Vltavou
Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
-
C.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
D.
Kožlany
Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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: Kralovice Triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Kralovice]
Generated description
Kralovice is a small town in the western Czech Republic known for its historical architecture and role as a local administrative center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kralovice Target entity description: Kralovice is a small town in the western Czech Republic known for its historical architecture and role as a local administrative center.
-
A.
Domažlice
Domažlice is a historic town in the western Czech Republic known for its well-preserved medieval center and rich Chodové folk traditions.
-
B.
Kralupy nad Vltavou
Kralupy nad Vltavou is a town in the Czech Republic situated on the Vltava River, known for its chemical industry and role as a regional transport hub.
-
C.
Říčany
Říčany is a town in the Czech Republic, located just southeast of Prague and known as a popular residential and commuter suburb with historical roots.
-
D.
Kožlany
Kožlany is a small town in the Czech Republic best known as the birthplace of former Czechoslovak president Edvard Beneš.
-
E.
Vávrová
Vávrová is a Czech surname most notably borne by Dana Vávrová, a well-known Czech-German actress and film director.
- 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_69ab49e028948190b97e01d73548b1d9 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abdd1e80dc819083e04e1427d187d0 |
completed | March 7, 2026, 8:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b055bd41108190920b7397c16d15f5 |
completed | March 10, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69b05d246a60819088510c8fa87402c2 |
completed | March 10, 2026, 6:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b062a6241c81909f3217a4a33aa4c6 |
completed | March 10, 2026, 6:27 p.m. |
Created at: March 6, 2026, 9:54 p.m.