Triple
T4228621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ŁKS Łódź |
E94521
|
entity |
| Predicate | hasRival |
P1375
|
FINISHED |
| Object | Widzew Łódź |
E90937
|
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: Widzew Łódź | Statement: [ŁKS Łódź, hasRival, Widzew Łódź]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Widzew Łódź Context triple: [ŁKS Łódź, hasRival, Widzew Łódź]
-
A.
Widzew Łódź
chosen
Widzew Łódź is a Polish professional football club from the city of Łódź, historically known as one of the country’s most successful and popular teams.
-
B.
Widzew
Widzew is a Polish football club from Łódź known for its rich history and passionate fan base.
-
C.
Ujazdów
Ujazdów is a historic neighborhood in central Warsaw, known for its palaces, government buildings, and extensive green areas including parks and gardens.
-
D.
Lubawa
Lubawa is a historic town in northern Poland known for its medieval heritage and location within the Warmian-Masurian region.
-
E.
Lubin
Lubin is a town in southwestern Poland known for its copper mining industry and location within the Lower Silesian region.
- 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_69b3453700a08190ae88792e3dc63207 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b34e51817c8190bff50f2c3b5deea0 |
completed | March 12, 2026, 11:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5964cd0088190a97ca5278046ba7b |
completed | March 14, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:04 p.m.