Triple
T17371464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Panevėžys City Stadium |
E422324
|
entity |
| Predicate | hasHomeTeam |
P346
|
FINISHED |
| Object |
FK Panevėžys
FK Panevėžys is a professional Lithuanian football club based in the city of Panevėžys that competes in the country's top-tier league.
|
E1265370
|
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: FK Panevėžys | Statement: [Panevėžys City Stadium, hasHomeTeam, FK Panevėžys]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: FK Panevėžys Context triple: [Panevėžys City Stadium, hasHomeTeam, FK Panevėžys]
-
A.
BC Lietkabelis Panevėžys
BC Lietkabelis Panevėžys is a professional basketball club from Panevėžys, Lithuania, competing in the country’s top basketball league and European competitions.
-
B.
Pierikos F.C.
Pierikos F.C. is a Greek professional football club based in the city of Katerini, competing in the national league system.
-
C.
FK Liepāja
FK Liepāja is a professional football club from the Latvian city of Liepāja that competes in the country’s top-tier league.
-
D.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
E.
Dainava Alytus football club
Dainava Alytus football club is a Lithuanian football team based in the city of Alytus that competes in the national league system.
- 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: FK Panevėžys Triple: [Panevėžys City Stadium, hasHomeTeam, FK Panevėžys]
Generated description
FK Panevėžys is a professional Lithuanian football club based in the city of Panevėžys that competes in the country's top-tier league.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: FK Panevėžys Target entity description: FK Panevėžys is a professional Lithuanian football club based in the city of Panevėžys that competes in the country's top-tier league.
-
A.
BC Lietkabelis Panevėžys
BC Lietkabelis Panevėžys is a professional basketball club from Panevėžys, Lithuania, competing in the country’s top basketball league and European competitions.
-
B.
Pierikos F.C.
Pierikos F.C. is a Greek professional football club based in the city of Katerini, competing in the national league system.
-
C.
FK Liepāja
FK Liepāja is a professional football club from the Latvian city of Liepāja that competes in the country’s top-tier league.
-
D.
Riga FC
Riga FC is a professional football club based in Riga, Latvia, competing in the Latvian Higher League.
-
E.
Dainava Alytus football club
Dainava Alytus football club is a Lithuanian football team based in the city of Alytus that competes in the national league system.
- 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_69d889d6535c81908be333c01deaec4e |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a69d93c81908ce2d909857a3a11 |
completed | April 19, 2026, 2:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a019568a27c8190af1bbe6db75f3e6f |
completed | May 11, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_6a019b7b645c819087040b18ee447321 |
completed | May 11, 2026, 9:03 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a019c8392d8819098317ff88a5c6e06 |
completed | May 11, 2026, 9:08 a.m. |
Created at: April 10, 2026, 5:44 a.m.