Triple
T12082917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague 6 |
E287726
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Bubeneč
Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
|
E1016549
|
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: Bubeneč | Statement: [Prague 6, contains, Bubeneč]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bubeneč Context triple: [Prague 6, contains, Bubeneč]
-
A.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
-
B.
Dobřany
Dobřany is a small historic town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its well-preserved architecture.
-
C.
Benešov
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
D.
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.
-
E.
Bečej
Bečej is a town and municipality in northern Serbia, situated in the autonomous province of Vojvodina.
- 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: Bubeneč Triple: [Prague 6, contains, Bubeneč]
Generated description
Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bubeneč Target entity description: Bubeneč is a residential and diplomatic district in Prague known for its embassies, green spaces, and proximity to Stromovka park.
-
A.
Boskovice
Boskovice is a historic town in the South Moravian Region of the Czech Republic, known for its preserved Jewish quarter, castle ruins, and cultural heritage.
-
B.
Dobřany
Dobřany is a small historic town in the Plzeň Region of the Czech Republic, known for its location on the Radbuza River and its well-preserved architecture.
-
C.
Benešov
Benešov is a town in the Czech Republic known as a local administrative and cultural center southeast of Prague.
-
D.
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.
-
E.
Bečej
Bečej is a town and municipality in northern Serbia, situated in the autonomous province of Vojvodina.
- 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_69d6ab4964708190850585628b287b0c |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915124e4c8190b0264c2a09e3c2f3 |
completed | April 10, 2026, 3:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0d2818c8190a1bea5f1fc8a9f59 |
completed | May 3, 2026, 3:28 a.m. |
| NEDg | Description generation | batch_69f6c562d10c8190b76dbf50a0101bae |
completed | May 3, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c635fc888190891a79da9d7984a0 |
completed | May 3, 2026, 3:51 a.m. |
Created at: April 8, 2026, 9:48 p.m.