Triple
T22166135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galavisión |
E547792
|
entity |
| Predicate | sisterChannel |
P5818
|
FINISHED |
| Object | TUDN USA |
—
|
NE NERFINISHED |
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: TUDN USA | Statement: [Galavisión, sisterChannel, TUDN USA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TUDN USA Context triple: [Galavisión, sisterChannel, TUDN USA]
-
A.
TUDN
chosen
TUDN is a Spanish-language sports television network and media brand focused on soccer and other sports, primarily serving audiences in the United States and Mexico.
-
B.
TMDU
TMDU is the commonly used abbreviation for Tokyo Medical and Dental University, a leading Japanese national university specializing in medical and dental education and research.
-
C.
TNU
TNU is the commonly used abbreviation for Tajik National University, a major public higher education institution in Tajikistan.
-
D.
TUDa
TUDa is a leading German research university located in Darmstadt, renowned for its engineering, computer science, and natural sciences programs.
-
E.
UTDC
UTDC (Urban Transportation Development Corporation) was a Canadian government-owned transit equipment manufacturer known for producing rail vehicles and other urban transportation systems before its assets were acquired by Bombardier.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3c4c5c81908d336165816b12e0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a314cc081908857c13d018d52b2 |
completed | April 28, 2026, 9:44 p.m. |
Created at: April 16, 2026, 8:34 p.m.