Triple
T6058576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiiu County |
E134974
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Kõrgessaare
Kõrgessaare is a small settlement on the island of Hiiumaa in western Estonia, known for its coastal location and rural character.
|
E596837
|
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: Kõrgessaare | Statement: [Hiiu County, contains, Kõrgessaare]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kõrgessaare Context triple: [Hiiu County, contains, Kõrgessaare]
-
A.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
B.
Pääsküla
Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
-
C.
Kivimäe
Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
-
D.
Kallaste
Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
-
E.
Ruhnu
Ruhnu is a small Estonian island in the Gulf of Riga, known for its remote location, traditional wooden lighthouse and church, and unique cultural heritage.
- 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: Kõrgessaare Triple: [Hiiu County, contains, Kõrgessaare]
Generated description
Kõrgessaare is a small settlement on the island of Hiiumaa in western Estonia, known for its coastal location and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kõrgessaare Target entity description: Kõrgessaare is a small settlement on the island of Hiiumaa in western Estonia, known for its coastal location and rural character.
-
A.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
B.
Pääsküla
Pääsküla is a subdistrict of the Nõmme district in Tallinn, Estonia, known for its residential areas and nearby natural landscapes.
-
C.
Kivimäe
Kivimäe is a residential subdistrict within the Nõmme district of Tallinn, Estonia, known for its green, suburban character.
-
D.
Kallaste
Kallaste is a small Estonian town on the western shore of Lake Peipus, known for its Old Believer Russian community and distinctive sandstone cliffs.
-
E.
Ruhnu
Ruhnu is a small Estonian island in the Gulf of Riga, known for its remote location, traditional wooden lighthouse and church, and unique cultural heritage.
- 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_69c00877b6d4819096b0e163728b73a3 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0570e64408190ae7a2504f63bb58a |
completed | March 22, 2026, 8:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537678fc8190aa0f2f198c1d8385 |
completed | March 27, 2026, 9:52 a.m. |
| NEDg | Description generation | batch_69c65772d5f88190837a7b0ac5884f3a |
completed | March 27, 2026, 10:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c65886ec388190bb48ac7b36578709 |
completed | March 27, 2026, 10:14 a.m. |
Created at: March 22, 2026, 4:10 p.m.