Triple
T10814546
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TPS Turku |
E255189
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Tepsi
Tepsi is a Finnish sports club from Turku, best known for its football and ice hockey teams competing under the TPS banner.
|
E887552
|
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: Tepsi | Statement: [TPS Turku, nickname, Tepsi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tepsi Context triple: [TPS Turku, nickname, Tepsi]
-
A.
Kazanlak
Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
-
B.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
-
C.
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
D.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
E.
Vidin
Vidin is a historic city and river port in northwestern Bulgaria on the Danube, known for its medieval fortress and role as a regional center during the Second Bulgarian Empire.
- 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: Tepsi Triple: [TPS Turku, nickname, Tepsi]
Generated description
Tepsi is a Finnish sports club from Turku, best known for its football and ice hockey teams competing under the TPS banner.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tepsi Target entity description: Tepsi is a Finnish sports club from Turku, best known for its football and ice hockey teams competing under the TPS banner.
-
A.
Kazanlak
Kazanlak is a town in central Bulgaria known for its rich Thracian heritage and rose oil production in the Valley of the Roses.
-
B.
Chepelare
Chepelare is a small Bulgarian mountain town and ski resort located in the Rhodope Mountains, known for its winter sports facilities and scenic surroundings.
-
C.
Gevaş
Gevaş is a town and district in eastern Turkey, situated on the southern shore of Lake Van in Van Province.
-
D.
Silistra
Silistra is a historic city in northeastern Bulgaria on the Danube River, known as an important cultural and economic center of the Dobruja region.
-
E.
Vidin
Vidin is a historic city and river port in northwestern Bulgaria on the Danube, known for its medieval fortress and role as a regional center during the Second Bulgarian Empire.
- 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_69d6aa8081448190a9324184f2bd1c26 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d733ece4488190b553a66c4b5188bc |
completed | April 9, 2026, 5:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69de8546b41081909e13152c4df2eb1c |
completed | April 14, 2026, 6:19 p.m. |
| NEDg | Description generation | batch_69de8955b9d8819086ff98efbff6c7a0 |
completed | April 14, 2026, 6:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69de8f4a318c819086559fd53506ab29 |
completed | April 14, 2026, 7:02 p.m. |
Created at: April 8, 2026, 9:18 p.m.