Triple
T12042112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plzeň-City District |
E286687
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Letkov
Letkov is a small municipality and village in the Plzeň Region of the Czech Republic.
|
E961509
|
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: Letkov | Statement: [Plzeň-City District, contains, Letkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letkov Context triple: [Plzeň-City District, contains, Letkov]
-
A.
Litavka
Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
-
B.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
-
C.
Lobeček
Lobeček is a district or neighborhood within the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
-
D.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
E.
Shklow
Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
- 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: Letkov Triple: [Plzeň-City District, contains, Letkov]
Generated description
Letkov is a small municipality and village in the Plzeň Region of the Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Letkov Target entity description: Letkov is a small municipality and village in the Plzeň Region of the Czech Republic.
-
A.
Litavka
Litavka is a river in the Czech Republic that flows through the town of Beroun before joining the Berounka River.
-
B.
Koshice
Košice is the second-largest city in Slovakia, known for its well-preserved medieval old town and status as an important cultural and economic center in the country.
-
C.
Lobeček
Lobeček is a district or neighborhood within the town of Kralupy nad Vltavou in the Central Bohemian Region of the Czech Republic.
-
D.
Trebsen
Trebsen is a small town in the Free State of Saxony in eastern Germany, known for its historic castle and location along the Mulde River.
-
E.
Shklow
Shklow is a town in eastern Belarus known for its historical significance and location along the Dnieper River in the Mogilev Region.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9040d13108190bd1a969fa62aae5a |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f49da728ec819080c349fd8d0ed62c |
completed | May 1, 2026, 12:33 p.m. |
| NEDg | Description generation | batch_69f53d9460bc8190869f2b7d095d98cb |
completed | May 1, 2026, 11:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f564b826ec819098906cf735e45093 |
completed | May 2, 2026, 2:43 a.m. |
Created at: April 8, 2026, 9:47 p.m.