Triple
T12245315
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | gmina Koło |
E291835
|
entity |
| Predicate | hasVehicleRegistrationCode |
P1173
|
FINISHED |
| Object | PKL |
E291834
|
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: PKL | Statement: [gmina Koło, hasVehicleRegistrationCode, PKL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PKL Context triple: [gmina Koło, hasVehicleRegistrationCode, PKL]
-
A.
PKL
chosen
PKL is the vehicle registration code assigned to the town of Koło in Poland.
-
B.
Pro Kabaddi League
The Pro Kabaddi League is India’s premier franchise-based kabaddi competition that popularized the sport with a televised, fast-paced league format.
-
C.
Kabaddi
Kabaddi is a high-intensity contact team sport that originated in ancient India and is now widely played across South Asia and beyond.
-
D.
PSL
PSL is the top professional football (soccer) league system in South Africa, organizing the country’s premier club competitions.
-
E.
PSL
PSL is a prestigious French research university in Paris known for its excellence in science, humanities, and the arts.
- 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_69d6ab67950c8190be08450a06228c4b |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cb893a08190bbdfcb23082b8f34 |
completed | April 10, 2026, 3:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f60ab7b9308190b621b71d75aa10cc |
completed | May 2, 2026, 2:31 p.m. |
Created at: April 8, 2026, 9:51 p.m.