Triple
T16323686
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WDSY-FM |
E396360
|
entity |
| Predicate | branding |
P1500
|
FINISHED |
| Object |
Y-108
Y-108 is the on-air brand name of Pittsburgh country music radio station WDSY-FM.
|
E1206871
|
NE FINISHED |
How this triple was built (4 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: Y-108 | Statement: [WDSY-FM, branding, Y-108]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Y-108 Context triple: [WDSY-FM, branding, Y-108]
-
A.
YC-15
The YC-15 was a prototype short takeoff and landing (STOL) military transport aircraft developed by McDonnell Douglas in the 1970s that served as the technological basis for the later C-17 Globemaster III.
-
B.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
C.
YC-14A
YC-14A was the designation for the first prototype of Boeing’s experimental YC-14 short takeoff and landing (STOL) military transport aircraft developed in the 1970s.
-
D.
Shaanxi Y-8
The Shaanxi Y-8 is a Chinese medium-sized, four-engine turboprop military transport aircraft widely used for cargo, troop transport, and specialized mission variants.
-
E.
YC-97A
The YC-97A was an early prototype variant of Boeing’s C-97 Stratofreighter military transport aircraft, used to test and refine the design before full production.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Y-108 Triple: [WDSY-FM, branding, Y-108]
Generated description
Y-108 is the on-air brand name of Pittsburgh country music radio station WDSY-FM.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Y-108 Target entity description: Y-108 is the on-air brand name of Pittsburgh country music radio station WDSY-FM.
-
A.
YC-15
The YC-15 was a prototype short takeoff and landing (STOL) military transport aircraft developed by McDonnell Douglas in the 1970s that served as the technological basis for the later C-17 Globemaster III.
-
B.
YB
YB is the common abbreviation for BSC Young Boys, a professional football club based in Bern, Switzerland.
-
C.
YC-14A
YC-14A was the designation for the first prototype of Boeing’s experimental YC-14 short takeoff and landing (STOL) military transport aircraft developed in the 1970s.
-
D.
Shaanxi Y-8
The Shaanxi Y-8 is a Chinese medium-sized, four-engine turboprop military transport aircraft widely used for cargo, troop transport, and specialized mission variants.
-
E.
YC-97A
The YC-97A was an early prototype variant of Boeing’s C-97 Stratofreighter military transport aircraft, used to test and refine the design before full production.
- F. None of above. chosen
Provenance (5 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e296b82fe88190a448597b7827f859 |
completed | April 17, 2026, 8:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00260ab4208190900f21cb4f08f926 |
completed | May 10, 2026, 6:30 a.m. |
| NEDg | Description generation | batch_6a00276bc80c819083c88ea52c67cdad |
completed | May 10, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00281b056c8190bbfc4897a8d3973b |
completed | May 10, 2026, 6:39 a.m. |
Created at: April 10, 2026, 5:06 a.m.