Triple
T3036763
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cracovia |
E83028
|
entity |
| Predicate | rival |
P437
|
FINISHED |
| Object | Wisła Kraków |
E83027
|
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: Wisła Kraków | Statement: [Cracovia, rival, Wisła Kraków]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wisła Kraków Context triple: [Cracovia, rival, Wisła Kraków]
-
A.
Wisła Kraków
chosen
Wisła Kraków is one of Poland’s oldest and most successful football clubs, based in the city of Kraków.
-
B.
Lech riverfront
Lech riverfront is a scenic riverside area in Landsberg am Lech, Germany, known for its historic architecture, picturesque views, and popular walking paths along the River Lech.
-
C.
Skawina
Skawina is a town in southern Poland near Kraków, known for its industrial facilities and role as a local economic and transport hub.
-
D.
Plac Krasińskich
Plac Krasińskich is a historic square in Warsaw, Poland, known for its notable architecture and monuments commemorating Polish history, including the Warsaw Uprising.
-
E.
Słupia
Słupia is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b2cd4988190b52fe3616ecbe9ef |
completed | March 8, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1dec8778c8190a5e06a29a0218404 |
completed | March 11, 2026, 9:29 p.m. |
Created at: March 8, 2026, 3:01 p.m.