Triple
T21808526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lochkov |
E538410
|
entity |
| Predicate | hasCadastralAreaCode |
P113699
|
FINISHED |
| Object |
Praha-Lochkov
Praha-Lochkov is a small cadastral district and residential area on the southwestern outskirts of Prague, Czech Republic.
|
E1503840
|
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: Praha-Lochkov | Statement: [Lochkov, hasCadastralAreaCode, Praha-Lochkov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Praha-Lochkov Context triple: [Lochkov, hasCadastralAreaCode, Praha-Lochkov]
-
A.
Prague-Libeň
Prague-Libeň is a district of Prague, Czech Republic, historically notable as the site of the World War II Operation Anthropoid assassination of Reinhard Heydrich.
-
B.
Jičín
Jičín is a historic town in the Czech Republic known for its well-preserved medieval center and association with the fairy-tale character Rumcajs.
-
C.
Prachatice
Prachatice is a historic town in the Czech Republic known for its well-preserved medieval center and former importance as a stop on the Golden Salt Trade Route.
-
D.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
-
E.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
- 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: Praha-Lochkov Triple: [Lochkov, hasCadastralAreaCode, Praha-Lochkov]
Generated description
Praha-Lochkov is a small cadastral district and residential area on the southwestern outskirts of Prague, Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Praha-Lochkov Target entity description: Praha-Lochkov is a small cadastral district and residential area on the southwestern outskirts of Prague, Czech Republic.
-
A.
Prague-Libeň
Prague-Libeň is a district of Prague, Czech Republic, historically notable as the site of the World War II Operation Anthropoid assassination of Reinhard Heydrich.
-
B.
Jičín
Jičín is a historic town in the Czech Republic known for its well-preserved medieval center and association with the fairy-tale character Rumcajs.
-
C.
Prachatice
Prachatice is a historic town in the Czech Republic known for its well-preserved medieval center and former importance as a stop on the Golden Salt Trade Route.
-
D.
Nymburk
Nymburk is a historic town in the Czech Republic known for its medieval fortifications and location on the Elbe River.
-
E.
Harrachov
Harrachov is a Czech mountain town in the Krkonoše range known as a major ski and winter sports resort near the Polish border.
- 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_69e0c473f0f8819086c9d1b4a143bd67 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f078047ca88190a0efa4bc7f2faf80 |
completed | April 28, 2026, 9:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a45da792c8190bbaef41b5699f3db |
completed | May 17, 2026, 10:48 p.m. |
| NEDg | Description generation | batch_6a0a481098d88190bcb4c835063adf46 |
completed | May 17, 2026, 10:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a489696248190b88db8c65b6d045a |
completed | May 17, 2026, 11 p.m. |
Created at: April 16, 2026, 6:53 p.m.