Triple
T37572607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barangay FM |
E934728
|
entity |
| Predicate | networkBrandingOf |
P96100
|
FINISHED |
| Object | RGMA provincial FM stations |
—
|
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: RGMA provincial FM stations | Statement: [Barangay FM, networkBrandingOf, RGMA provincial FM stations]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkBrandingOf Context triple: [Barangay FM, networkBrandingOf, RGMA provincial FM stations]
-
A.
networkRebrand
Indicates a change in the branding or identity of a network, such as its name, logo, or visual presentation.
-
B.
sharesBrandingWith
Indicates that two entities use the same or closely related branding elements, such as name, logo, or visual identity.
-
C.
brandingFamily
chosen
Indicates that one entity belongs to, or is associated with, a particular brand family or group under a shared branding strategy.
-
D.
serviceBrandColor
Indicates the association between a service and the color used to represent its brand identity.
-
E.
brandingAuthority
Indicates that one entity has the recognized power or right to define, control, or approve the branding (name, logo, identity, or brand usage) of another entity or product.
- F. None of above.
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_69f76ecd99148190be327e391a70f5b6 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.