Triple
T19806674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hilversum |
E475829
|
entity |
| Predicate | hasBroadcaster |
P16302
|
FINISHED |
| Object |
VPRO
VPRO is a Dutch public broadcasting organization known for its progressive, experimental radio, television, and online programs.
|
E1395749
|
NE FINISHED |
How this triple was built (4 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: VPRO | Statement: [Hilversum, hasBroadcaster, VPRO]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: VPRO Context triple: [Hilversum, hasBroadcaster, VPRO]
-
A.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
B.
Radio Veritas
Radio Veritas is a Catholic radio station in the Philippines known for its influential role in religious broadcasting and in pivotal political events such as the People Power Revolution.
-
C.
ANO TV-Novosti
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
-
D.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
E.
NTV
NTV is a Turkish television news channel known for its 24-hour news coverage and influential role in Turkey’s media landscape.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: VPRO Triple: [Hilversum, hasBroadcaster, VPRO]
Generated description
VPRO is a Dutch public broadcasting organization known for its progressive, experimental radio, television, and online programs.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: VPRO Target entity description: VPRO is a Dutch public broadcasting organization known for its progressive, experimental radio, television, and online programs.
-
A.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
B.
Radio Veritas
Radio Veritas is a Catholic radio station in the Philippines known for its influential role in religious broadcasting and in pivotal political events such as the People Power Revolution.
-
C.
ANO TV-Novosti
ANO TV-Novosti is a Russian state-funded media organization that operates the international television network RT (formerly Russia Today).
-
D.
NTV
NTV is a major Japanese commercial television network known for its wide range of news, entertainment, and sports programming.
-
E.
NTV
NTV is a Turkish television news channel known for its 24-hour news coverage and influential role in Turkey’s media landscape.
- F. None of above. chosen
Provenance (5 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_69d8e51bc4208190a1c57d8c5d1b15e4 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65428f5c48190be6ae0d6a77675d2 |
completed | April 20, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c50c6a7c81908bf0d55dad7a6556 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c66178108190a6fc2d7566af44ad |
completed | May 16, 2026, 1:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c73b731881909c8abaeb541e34f9 |
completed | May 16, 2026, 1:24 a.m. |
Created at: April 10, 2026, 1:49 p.m.