Triple
T2663697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň Region |
E54782
|
entity |
| Predicate | hasMunicipalityWithExtendedPowers |
P41272
|
FINISHED |
| Object |
Rokycany
Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
|
E306948
|
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: Rokycany | Statement: [Plzeň Region, hasMunicipalityWithExtendedPowers, Rokycany]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rokycany Context triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Rokycany]
-
A.
Klatovy
Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
-
B.
Kutná Hora
Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
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.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
- 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: Rokycany Triple: [Plzeň Region, hasMunicipalityWithExtendedPowers, Rokycany]
Generated description
Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rokycany Target entity description: Rokycany is a town in the western Czech Republic that serves as an administrative and economic center within the Plzeň Region.
-
A.
Klatovy
Klatovy is a historic town in the Czech Republic known for its well-preserved architecture, including Baroque churches and catacombs, and its role as a regional administrative center.
-
B.
Kutná Hora
Kutná Hora is a historic Czech town famed for its medieval silver mines, Gothic architecture, and the macabre Sedlec Ossuary.
-
C.
Broumov
Broumov is a historic town in northeastern Bohemia, Czech Republic, known for its Benedictine monastery and proximity to the Broumov Walls sandstone rock formations.
-
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.
Slaný
Slaný is a historic town in the Czech Republic known for its medieval center and location northwest of Prague.
- 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_69b0311527188190a034820f4ff30d5a |
completed | March 10, 2026, 2:56 p.m. |
| NEDg | Description generation | batch_69b034d9140881909800f0f052fb4f83 |
completed | March 10, 2026, 3:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b035b102b081908b0d9f272ab9c1b1 |
completed | March 10, 2026, 3:16 p.m. |
Created at: March 6, 2026, 9:54 p.m.