Triple
T12082919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Prague 6 |
E287726
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Veleslavín
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
|
E968099
|
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: Veleslavín | Statement: [Prague 6, contains, Veleslavín]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Veleslavín Context triple: [Prague 6, contains, Veleslavín]
-
A.
Bregava
Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
-
B.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
-
C.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
D.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
E.
Vratislavia
Vratislavia is the historical Latin name of the city now known as Wrocław in southwestern Poland.
- 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: Veleslavín Triple: [Prague 6, contains, Veleslavín]
Generated description
Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Veleslavín Target entity description: Veleslavín is a residential district in the northwestern part of Prague known for its transport connections and proximity to green areas.
-
A.
Bregava
Bregava is a river in Bosnia and Herzegovina known for flowing through the town of Stolac before joining the Neretva River.
-
B.
Vasishka
Vasishka was a Kushan emperor who ruled parts of northern India and Central Asia in the early 3rd century CE, known primarily from his inscriptions and coinage.
-
C.
Lučina
Lučina is a river in the Moravian-Silesian Region of the Czech Republic that flows through the city of Ostrava.
-
D.
Slaná
Slaná is a river in central Europe that flows through Slovakia and Hungary, where it is known as the Sajó.
-
E.
Vratislavia
Vratislavia is the historical Latin name of the city now known as Wrocław in southwestern Poland.
- 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_69f5f66509208190b7206e78df41c2fe |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f6022ecf38819080f0eb6a3a815c5b |
completed | May 2, 2026, 1:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f606560934819092ba4d4fa162b799 |
completed | May 2, 2026, 2:12 p.m. |
Created at: April 8, 2026, 9:48 p.m.