Triple
T2663699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň Region |
E54782
|
entity |
| Predicate | hasMunicipalityWithExtendedPowers |
P41272
|
FINISHED |
| Object |
Sušice
Sušice is a town in the Czech Republic known as a local administrative, cultural, and tourist center in the southwestern Plzeň Region.
|
E299068
|
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: Sušice | Statement: [Plzeň Region, hasMunicipalityWithExtendedPowers, Sušice]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sušice Context triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Sušice]
-
A.
Trutnov
Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
-
B.
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.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
-
E.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
- 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: Sušice Triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Sušice]
Generated description
Sušice is a town in the Czech Republic known as a local administrative, cultural, and tourist center in the southwestern Plzeň Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sušice Target entity description: Sušice is a town in the Czech Republic known as a local administrative, cultural, and tourist center in the southwestern Plzeň Region.
-
A.
Trutnov
Trutnov is a town in the Czech Republic known as a gateway to the eastern Krkonoše (Giant Mountains) region and for its historical center and industrial heritage.
-
B.
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.
-
C.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
-
D.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
-
E.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
- 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_69afc6382a2081909ea7216c19a65e7e |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6c6c620819098b76db174a6f98e |
completed | March 10, 2026, 7:22 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc72b2e3c8190aad78ac8924f07af |
completed | March 10, 2026, 7:24 a.m. |
Created at: March 6, 2026, 9:54 p.m.