Triple
T28291350
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UHF Channel 25 (Metro Manila) |
E713433
|
entity |
| Predicate | associatedNetworkType |
P203112
|
FINISHED |
| Object | commercial television network |
—
|
LITERAL 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: commercial television network | Statement: [UHF Channel 25 (Metro Manila), associatedNetworkType, commercial television network]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedNetworkType Context triple: [UHF Channel 25 (Metro Manila), associatedNetworkType, commercial television network]
-
A.
networkType
Indicates the category or kind of network associated with or used by an entity (e.g., wired, wireless, virtual, or specific protocol-based networks).
-
B.
intendedNetwork
Indicates the network that an entity is planned, designed, or expected to connect to or operate within.
-
C.
usedByNetwork
Indicates that something is utilized or operated by a particular network.
-
D.
supportedNetwork
Indicates that one entity (such as a device, service, or application) is compatible with, operates on, or is designed to work over a specified network or type of network.
-
E.
hasCommunityNetworkType
Indicates the type or category of community network associated with an entity.
- 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_69efb52371d88190a1381c4e58a3b731 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_6a0123d1162c81908182d01ba3ddd236 |
completed | May 11, 2026, 12:33 a.m. |
| PD | Predicate disambiguation | batch_6a01236713d88190b12a567c0dfb2d49 |
completed | May 11, 2026, 12:31 a.m. |
| PDg | Predicate description generation | batch_6a0123cff0e481909c938428fbfe76a6 |
completed | May 11, 2026, 12:33 a.m. |
Created at: April 27, 2026, 11:29 p.m.