Triple
T11581172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DZBB-TV |
E274628
|
entity |
| Predicate | callsign |
P1565
|
FINISHED |
| Object | DZBB-TV |
E274628
|
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: DZBB-TV | Statement: [DZBB-TV, callsign, DZBB-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DZBB-TV Context triple: [DZBB-TV, callsign, DZBB-TV]
-
A.
DZBB-TV
chosen
DZBB-TV is a major Philippine television station based in Metro Manila that serves as the primary broadcast outlet of the GMA Network.
-
B.
DZBB-AM
DZBB-AM is a major Philippine AM radio station based in Metro Manila, serving as the flagship news and public affairs outlet of GMA Network.
-
C.
DWWX-TV
DWWX-TV is a Philippine television station that serves as a major outlet of the ABS-CBN network in Metro Manila.
-
D.
Estrella TV
Estrella TV is a Spanish-language American broadcast television network known for its variety of entertainment programming targeting Hispanic audiences in the United States.
-
E.
KSAZ-TV
KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904c51b881909e7be84c6f3de79f |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e8a78d80448190a93ca0ebfbd7e3a4 |
completed | April 22, 2026, 10:48 a.m. |
Created at: April 8, 2026, 9:38 p.m.