Triple
T7792997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pärnu |
E180225
|
entity |
| Predicate | hasSportsTeam |
P330
|
FINISHED |
| Object |
Pärnu JK Vaprus
Pärnu JK Vaprus is an Estonian football club based in the city of Pärnu that competes in the national league system.
|
E693930
|
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: Pärnu JK Vaprus | Statement: [Pärnu, hasSportsTeam, Pärnu JK Vaprus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pärnu JK Vaprus Context triple: [Pärnu, hasSportsTeam, Pärnu JK Vaprus]
-
A.
Ilves
Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
-
B.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
C.
Joensuu Wolves
Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
-
D.
Jokerit
Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
-
E.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
- 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: Pärnu JK Vaprus Triple: [Pärnu, hasSportsTeam, Pärnu JK Vaprus]
Generated description
Pärnu JK Vaprus is an Estonian football club based in the city of Pärnu that competes in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Pärnu JK Vaprus Target entity description: Pärnu JK Vaprus is an Estonian football club based in the city of Pärnu that competes in the national league system.
-
A.
Ilves
Ilves is a prominent Finnish sports club from Tampere best known for its ice hockey team competing in the country’s top professional league.
-
B.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
C.
Joensuu Wolves
Joensuu Wolves is a sports club based in Joensuu, Finland, best known for representing the city in competitive team sports.
-
D.
Jokerit
Jokerit is a professional ice hockey club from Helsinki, Finland, known as one of the country’s most successful and popular teams.
-
E.
Dinamo Riga
Dinamo Riga is a professional ice hockey club based in Riga, Latvia, known for competing in top European and international leagues.
- 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_69ca827d22208190b4dc5aa680edcf5d |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cae938714c8190b89917e6ded004da |
completed | March 30, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb13dbe1f88190bde2c5c76dcfeb8f |
completed | March 31, 2026, 12:22 a.m. |
| NEDg | Description generation | batch_69cb1730900c8190bc0322c4b6a3772f |
completed | March 31, 2026, 12:37 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cb1a29d2988190bb64aada0d2ef463 |
completed | March 31, 2026, 12:49 a.m. |
Created at: March 30, 2026, 4:31 p.m.