Triple
T3893048
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zagłębie Lubin |
E88104
|
entity |
| Predicate | hasWomenTeam |
P13104
|
FINISHED |
| Object | Zagłębie Lubin women |
E88104
|
NE FINISHED |
How this triple was built (2 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: Zagłębie Lubin women | Statement: [Zagłębie Lubin, hasWomenTeam, Zagłębie Lubin women]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zagłębie Lubin women Context triple: [Zagłębie Lubin, hasWomenTeam, Zagłębie Lubin women]
-
A.
Zagłębie Lubin
chosen
Zagłębie Lubin is a Polish professional football club based in Lubin that competes in the country’s top league, the Ekstraklasa.
-
B.
Górnik Zabrze
Górnik Zabrze is a historic Polish football club from Zabrze, known as one of the country’s most successful and traditional teams.
-
C.
Jagiellonia Białystok
Jagiellonia Białystok is a professional Polish football club based in Białystok that competes in the country’s top league, the Ekstraklasa.
-
D.
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.
-
E.
Górnik Łęczna
Górnik Łęczna is a Polish professional football club based in Łęczna that competes in the country’s league system.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69aed9466d548190939f5217a23ed4ac |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecce860c8190b16eca2e14f6544f |
completed | March 9, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b51c96ff648190b03807547930d51d |
completed | March 14, 2026, 8:30 a.m. |
Created at: March 9, 2026, 3:21 p.m.