Triple
T28111662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Channel 4 (VHF, Metro Manila) |
E710505
|
entity |
| Predicate | ownerOfBroadcastingStation |
P168097
|
FINISHED |
| Object | Philippine government |
—
|
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: Philippine government | Statement: [Channel 4 (VHF, Metro Manila), ownerOfBroadcastingStation, Philippine government]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownerOfBroadcastingStation Context triple: [Channel 4 (VHF, Metro Manila), ownerOfBroadcastingStation, Philippine government]
-
A.
hasBroadcastRightsHolder
Indicates that one entity holds the legal rights to broadcast content owned or controlled by another entity.
-
B.
broadcasterType
Indicates the category or kind of broadcaster involved in the relationship or action (e.g., public, commercial, online).
-
C.
callSignOwnerHeadquarters
Indicates that the headquarters of the owner associated with a given call sign is located at a specified place.
-
D.
broadcasterNationality
Indicates the country or national affiliation associated with a broadcaster.
-
E.
broadcastStation
Indicates that one entity functions as a broadcast station that transmits content or signals to an audience or network.
- F. None of above. chosen
Provenance (4 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69f673633d288190b52ceb9f8a057c44 |
completed | May 2, 2026, 9:57 p.m. |
| PD | Predicate disambiguation | batch_69f66ec3d3d48190ab2f2b71939e572e |
completed | May 2, 2026, 9:38 p.m. |
| PDg | Predicate description generation | batch_69f67256d064819094be04fc1bbbc635 |
completed | May 2, 2026, 9:53 p.m. |
Created at: April 27, 2026, 9:11 p.m.