Triple
T15967173
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVP Sport |
E387220
|
entity |
| Predicate | hasOnlineService |
P57
|
FINISHED |
| Object | TVP VOD |
E331132
|
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: TVP VOD | Statement: [TVP Sport, hasOnlineService, TVP VOD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVP VOD Context triple: [TVP Sport, hasOnlineService, TVP VOD]
-
A.
VOD
VOD is the stock ticker symbol for Vodacom, a major African mobile communications and telecommunications company.
-
B.
TVP
TVP is the regional police force responsible for law enforcement across the Thames Valley area of England, including Berkshire, Buckinghamshire, and Oxfordshire.
-
C.
TVP
chosen
TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
-
D.
Vdio
Vdio was an online video-on-demand and streaming service launched by Skype and Rdio co-founder Janus Friis as an attempt to compete with platforms like Netflix.
-
E.
Videotheque
Videotheque is a song by the British punk rock band Dollar, known for its catchy synth-pop style and chart success in the early 1980s.
- 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15726536881908b603e43ae1acafb |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffbe87149081909ac6129126f597c2 |
completed | May 9, 2026, 11:08 p.m. |
Created at: April 10, 2026, 4:54 a.m.