Triple
T952818
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tallinn |
E20558
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Pirita
Pirita is a coastal district of Tallinn, Estonia, known for its beaches, marina, and extensive green areas.
|
E118010
|
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: Pirita | Statement: [Tallinn, hasDistrict, Pirita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pirita Context triple: [Tallinn, hasDistrict, Pirita]
-
A.
Mustamäe
Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
-
B.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
-
C.
Taipale
Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
-
D.
Partenit
Partenit is a seaside resort town on the southern coast of Crimea, known for its picturesque bays, mild climate, and popular holiday facilities.
-
E.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
- 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: Pirita Triple: [Tallinn, hasDistrict, Pirita]
Generated description
Pirita is a coastal district of Tallinn, Estonia, known for its beaches, marina, and extensive green areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pirita Target entity description: Pirita is a coastal district of Tallinn, Estonia, known for its beaches, marina, and extensive green areas.
-
A.
Mustamäe
Mustamäe is a residential district in the western part of Tallinn, Estonia, known for its Soviet-era apartment blocks and proximity to universities and technology hubs.
-
B.
Nõmme
Nõmme is a leafy, villa-filled suburban district of Tallinn known for its pine forests, wooden architecture, and small-town atmosphere within the capital.
-
C.
Taipale
Taipale is a locality in Finland historically notable as a major battleground during the Winter War between Finland and the Soviet Union.
-
D.
Partenit
Partenit is a seaside resort town on the southern coast of Crimea, known for its picturesque bays, mild climate, and popular holiday facilities.
-
E.
Mariinka
Mariinka is a renowned historic opera and ballet theatre in Saint Petersburg, Russia, celebrated for its world-class performances and prestigious resident companies.
- 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_69a493b0f2fc81908cd227480a5356a1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b3d8f2e0819097554a301f8aa70f |
completed | March 1, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac2a0f4e088190b2fcd01e9475ff5d |
completed | March 7, 2026, 1:37 p.m. |
| NEDg | Description generation | batch_69ac2a8dd818819088e6140e9a12594b |
completed | March 7, 2026, 1:39 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac2af2efd88190b1da673aa3ead5fd |
completed | March 7, 2026, 1:41 p.m. |
Created at: March 1, 2026, 7:40 p.m.