Triple
T5275483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | slenthem |
E119362
|
entity |
| Predicate | tunedIn |
P27295
|
FINISHED |
| Object | slendro tuning system |
—
|
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: slendro tuning system | Statement: [slenthem, tunedIn, slendro tuning system]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tunedIn Context triple: [slenthem, tunedIn, slendro tuning system]
-
A.
isTunedTo
chosen
Indicates that one entity has been adjusted or configured to operate at, receive, or correspond to the frequency, channel, or setting of another entity.
-
B.
countryStationed
Indicates that an entity is assigned, based, or deployed within the territory of a specified country.
-
C.
hasRadioStation
Indicates that one entity possesses, operates, or is served by a particular radio station.
-
D.
radioAnalystUS
Indicates that an entity serves as a radio analyst based in or associated with the United States in relation to another entity or context.
-
E.
radioAnnouncers
Indicates that one entity serves as a radio announcer for, or in association with, another entity.
- 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_69bd446c38e081908cdaf113bdf86790 |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd8c9c72b08190947b6b955ac1bb5a |
completed | March 20, 2026, 6:06 p.m. |
| PD | Predicate disambiguation | batch_69bd844a56b48190ad743c42246e02dd |
completed | March 20, 2026, 5:30 p.m. |
Created at: March 20, 2026, 1:51 p.m.