Triple
T20442106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy of Fine Arts in Prague |
E501420
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Letná
Letná is a prominent district in Prague known for its expansive Letná Park, scenic views over the city, and vibrant cultural and artistic atmosphere.
|
E1431752
|
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: Letná | Statement: [Academy of Fine Arts in Prague, locatedIn, Letná]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letná Context triple: [Academy of Fine Arts in Prague, locatedIn, Letná]
-
A.
Leto
Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
-
B.
Letnitsa
Letnitsa is a small town and municipality in northern Bulgaria known for its proximity to the Devetashka Cave and other natural attractions.
-
C.
Libná
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
-
D.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
-
E.
Osen
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
- 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: Letná Triple: [Academy of Fine Arts in Prague, locatedIn, Letná]
Generated description
Letná is a prominent district in Prague known for its expansive Letná Park, scenic views over the city, and vibrant cultural and artistic atmosphere.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Letná Target entity description: Letná is a prominent district in Prague known for its expansive Letná Park, scenic views over the city, and vibrant cultural and artistic atmosphere.
-
A.
Leto
Leto is a Titaness in Greek mythology best known as the mother of the twin Olympian deities Apollo and Artemis.
-
B.
Letnitsa
Letnitsa is a small town and municipality in northern Bulgaria known for its proximity to the Devetashka Cave and other natural attractions.
-
C.
Libná
Libná is a small settlement that forms part of the town of Teplice nad Metují in the Hradec Králové Region of the Czech Republic.
-
D.
Letňany
Letňany is a district in the northeastern part of Prague, Czech Republic, known for its residential areas, shopping centers, and transport links including a terminus of the city’s metro system.
-
E.
Osen
Osen is a small coastal municipality in Trøndelag county, Norway, known for its rugged coastline, fishing traditions, and scenic natural landscapes.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685f3b794819080745b135a305ba7 |
completed | April 20, 2026, 8 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0883ff8e6c8190b8699ea023e98799 |
completed | May 16, 2026, 2:49 p.m. |
| NEDg | Description generation | batch_6a08860f244c81909f2602704a19b0c6 |
completed | May 16, 2026, 2:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08868eadd48190837d0fbefb3da02a |
completed | May 16, 2026, 3 p.m. |
Created at: April 16, 2026, 11:32 a.m.