Triple
T13781147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TVP |
E331132
|
entity |
| Predicate | operatesChannel |
P5884
|
FINISHED |
| Object | TVP Historia |
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 Historia | Statement: [TVP, operatesChannel, TVP Historia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TVP Historia Context triple: [TVP, operatesChannel, TVP Historia]
-
A.
TVP
TVP is the regional police force responsible for law enforcement across the Thames Valley area of England, including Berkshire, Buckinghamshire, and Oxfordshire.
-
B.
TVP
chosen
TVP is Poland’s national public television broadcaster, operating multiple channels and services across the country.
-
C.
TVP Polonia
TVP Polonia is an international Polish television channel aimed primarily at the Polish diaspora, broadcasting a selection of programs from Poland’s public broadcaster.
-
D.
Historik
Historik is Johann Gustav Droysen’s influential 19th-century work on the theory and methodology of historical research.
-
E.
TVI
TVI is a major Portuguese television network known for its popular entertainment, news, and drama programming.
- 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_69d81c583b0081909e408a17db517a21 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de02460a688190a27874f8d35819c7 |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b079013881908e9f5412e5dfb0b2 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.