Triple
T745304
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Łódź |
E15327
|
entity |
| Predicate | hasSportsClub |
P346
|
FINISHED |
| Object |
ŁKS Łódź
ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
|
E94521
|
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: ŁKS Łódź | Statement: [Łódź, hasSportsClub, ŁKS Łódź]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ŁKS Łódź Context triple: [Łódź, hasSportsClub, ŁKS Łódź]
-
A.
Zagłębie Lubin
Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
-
B.
Pogoń Szczecin
Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
-
C.
Górnik Łęczna
Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
-
D.
Lechia Gdańsk
Lechia Gdańsk is a Polish professional football club based in Gdańsk, known for competing in the country’s top leagues and having a passionate local fanbase.
-
E.
Cracovia
Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
- 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: ŁKS Łódź Triple: [Łódź, hasSportsClub, ŁKS Łódź]
Generated description
ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: ŁKS Łódź Target entity description: ŁKS Łódź is a historic Polish multi-sports club from Łódź, best known for its professional football team competing in the national league system.
-
A.
Zagłębie Lubin
Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
-
B.
Pogoń Szczecin
Pogoń Szczecin is a Polish professional football club based in Szczecin that competes in the country’s top league, the Ekstraklasa.
-
C.
Górnik Łęczna
Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
-
D.
Lechia Gdańsk
Lechia Gdańsk is a Polish professional football club based in Gdańsk, known for competing in the country’s top leagues and having a passionate local fanbase.
-
E.
Cracovia
Cracovia is a historic Polish football club from Kraków, known as one of the oldest and most traditional teams in the country.
- 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_69a49358aa308190adbc9b5a0a2adcf9 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a61217b881908592096b1edacb8a |
completed | March 1, 2026, 8:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67ef89a848190beaf6d1dab0ae331 |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a682ddc2a48190a1c8418e496674b2 |
completed | March 3, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a683366f548190a2b804e0cd625e92 |
completed | March 3, 2026, 6:44 a.m. |
Created at: March 1, 2026, 7:37 p.m.