Triple
T9805233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telewizja Polska |
E237937
|
entity |
| Predicate | commercialFundingSource |
P90072
|
FINISHED |
| Object | advertising |
—
|
LITERAL 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: advertising | Statement: [Telewizja Polska, commercialFundingSource, advertising]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: commercialFundingSource Context triple: [Telewizja Polska, commercialFundingSource, advertising]
-
A.
commercialCapital
Indicates that a location functions as the primary center for trade, business, and economic activity within a larger region or entity.
-
B.
commercialService
Indicates a relationship where one entity provides a paid, profit-oriented service to another entity.
-
C.
commercialAgency
Indicates a relationship where one party acts as a commercial agent, authorized to promote, negotiate, or conclude business transactions on behalf of another party.
-
D.
commercialActivity
Indicates an action or relationship involving the buying, selling, or exchange of goods or services for profit or other economic gain.
-
E.
commercialCategory
Indicates the type of commercial classification or business category under which an entity or transaction is grouped.
- F. None of above. chosen
Provenance (4 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_69ca84dd4608819097ff4ed00feca280 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdab7b67748190ba16ce868f29d13e |
completed | April 1, 2026, 11:34 p.m. |
| PD | Predicate disambiguation | batch_69cd03dd2da881909052fbf29736a773 |
completed | April 1, 2026, 11:39 a.m. |
| PDg | Predicate description generation | batch_69cd06abc9248190a506b64e9c516d03 |
completed | April 1, 2026, 11:51 a.m. |
Created at: March 30, 2026, 8:29 p.m.