Triple
T1985476
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartu |
E43129
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Tartu County
Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
|
E222912
|
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: Tartu County | Statement: [Tartu, locatedIn, Tartu County]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tartu County Context triple: [Tartu, locatedIn, Tartu County]
-
A.
Harku Parish
Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
-
B.
Suuremõisa
Suuremõisa is a village on the Estonian island of Hiiumaa, known for its historic manor complex and surrounding park.
-
C.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
D.
Viimsi Parish
Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
-
E.
Kivalliq Region
Kivalliq Region is an administrative region of Nunavut in northern Canada, known for its Inuit communities, tundra landscapes, and Arctic wildlife.
- 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: Tartu County Triple: [Tartu, locatedIn, Tartu County]
Generated description
Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tartu County Target entity description: Tartu County is an administrative region in eastern Estonia centered around the university city of Tartu and known for its cultural, educational, and economic significance.
-
A.
Harku Parish
Harku Parish is a rural municipality in northern Estonia, located just west of the capital city Tallinn.
-
B.
Suuremõisa
Suuremõisa is a village on the Estonian island of Hiiumaa, known for its historic manor complex and surrounding park.
-
C.
Kuressaare
Kuressaare is the main town on Estonia’s Saaremaa island, known for its well-preserved medieval castle and seaside spa resort atmosphere.
-
D.
Viimsi Parish
Viimsi Parish is a suburban rural municipality in northern Estonia, located on the Viimsi Peninsula just northeast of the capital city Tallinn.
-
E.
Kivalliq Region
Kivalliq Region is an administrative region of Nunavut in northern Canada, known for its Inuit communities, tundra landscapes, and Arctic wildlife.
- 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_69a88713ddc88190a969715658ebe7a8 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb821c2d48190abea6c89f37b51b1 |
completed | March 7, 2026, 5:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0331eec881909463163fb71e4eba |
completed | March 8, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69ae03e575a88190a93181eb9d9bc3eb |
completed | March 8, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae0473aecc8190b3da07fb8fd18e81 |
completed | March 8, 2026, 11:21 p.m. |
Created at: March 4, 2026, 7:37 p.m.