Triple
T14325917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Catalan culture |
E355213
|
entity |
| Predicate | hasMedia |
P7961
|
FINISHED |
| Object |
TV3
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
|
E1093405
|
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: TV3 | Statement: [Catalan culture, hasMedia, TV3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TV3 Context triple: [Catalan culture, hasMedia, TV3]
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
C.
TV3 (Sweden)
TV3 (Sweden) is a Swedish commercial television channel known for broadcasting entertainment programming, including reality shows and imported series.
-
D.
TV5 Network
TV5 Network is a major Philippine television and media company known for its free-to-air channel TV5 and various entertainment, news, and sports programming.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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: TV3 Triple: [Catalan culture, hasMedia, TV3]
Generated description
TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: TV3 Target entity description: TV3 is a Catalan-language public television channel that plays a central role in promoting and reflecting Catalan culture and identity.
-
A.
TV1
TV1 was the original name of SVT1, the primary television channel of Sweden's public broadcaster Sveriges Television.
-
B.
VTV3
VTV3 is a Vietnamese national television channel known for broadcasting popular entertainment programs, reality shows, and game shows.
-
C.
TV3 (Sweden)
TV3 (Sweden) is a Swedish commercial television channel known for broadcasting entertainment programming, including reality shows and imported series.
-
D.
TV5 Network
TV5 Network is a major Philippine television and media company known for its free-to-air channel TV5 and various entertainment, news, and sports programming.
-
E.
Star TV
Star TV is a major Asian satellite television network known for its broad entertainment and news programming across multiple countries.
- 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_69d8278fa2108190bc0d0e7939c1eb03 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de883e6a288190b6c22f630a1eef3c |
completed | April 14, 2026, 6:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4690a79c819099cc4ae9a10ba0db |
completed | May 8, 2026, 2:12 a.m. |
| NEDg | Description generation | batch_69fd47bbc5e081908aa8b0e76661234f |
completed | May 8, 2026, 2:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd4840f0688190975d8c3c7eefb132 |
completed | May 8, 2026, 2:19 a.m. |
Created at: April 10, 2026, 1:13 a.m.