Triple
T9274579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartu County |
E222912
|
entity |
| Predicate | historicalRegion |
P915
|
FINISHED |
| Object |
Tartumaa
Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
|
E787934
|
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: Tartumaa | Statement: [Tartu County, historicalRegion, Tartumaa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tartumaa Context triple: [Tartu County, historicalRegion, Tartumaa]
-
A.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
B.
Turunmaa
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
-
C.
Hiiumaa
Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
-
D.
Eston
Eston is a town in North Yorkshire, England, historically associated with ironstone mining and now part of the borough of Redcar and Cleveland.
-
E.
Koillismaa
Koillismaa is a sparsely populated region in northeastern Finland known for its forests, lakes, and outdoor recreation opportunities.
- 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: Tartumaa Triple: [Tartu County, historicalRegion, Tartumaa]
Generated description
Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tartumaa Target entity description: Tartumaa is a historical region in southeastern Estonia centered around the city of Tartu, known for its cultural and educational significance.
-
A.
Eteläranta
Eteläranta is a central waterfront street and area in Helsinki, Finland, known for its proximity to the South Harbour and key government and commercial buildings.
-
B.
Turunmaa
Turunmaa is the Finnish name for the Turku archipelago region in southwestern Finland, known for its numerous islands and coastal landscapes.
-
C.
Hiiumaa
Hiiumaa is Estonia’s second-largest island, located in the Baltic Sea and known for its unspoiled nature, lighthouses, and quiet rural landscapes.
-
D.
Eston
Eston is a town in North Yorkshire, England, historically associated with ironstone mining and now part of the borough of Redcar and Cleveland.
-
E.
Koillismaa
Koillismaa is a sparsely populated region in northeastern Finland known for its forests, lakes, and outdoor recreation opportunities.
- 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_69ca841ffe208190aa7bcffbef2f8379 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd078a045c8190b2c4d1ec64b932ad |
completed | April 1, 2026, 11:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c3dd140819099fc0e95c4d48ba9 |
completed | April 4, 2026, 5:06 a.m. |
| NEDg | Description generation | batch_69d09cf1f2f48190b53e062c3eb4565d |
completed | April 4, 2026, 5:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d09d9739d48190ac3b240390f36c38 |
completed | April 4, 2026, 5:11 a.m. |
Created at: March 30, 2026, 7:33 p.m.