Triple
T3930167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KYW (AM) |
E93374
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WIP-FM
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
|
E399298
|
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: WIP-FM | Statement: [KYW (AM), sisterStation, WIP-FM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WIP-FM Context triple: [KYW (AM), sisterStation, WIP-FM]
-
A.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
B.
WMKK
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
C.
WNGX
WNGX is the radio callsign assigned to the vessel M/V Aurora, used for its maritime identification and communication.
-
D.
WDSY-FM
WDSY-FM is a Pittsburgh-based country music radio station that serves as a major FM outlet in the region.
-
E.
KENW-FM
KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
- 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: WIP-FM Triple: [KYW (AM), sisterStation, WIP-FM]
Generated description
WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WIP-FM Target entity description: WIP-FM is a Philadelphia-based sports radio station known for its live coverage of local teams and sports talk programming.
-
A.
Wasafi FM
Wasafi FM is a Tanzanian radio station associated with the Wasafi media brand founded by musician Diamond Platnumz, known for broadcasting contemporary Bongo Flava and entertainment content.
-
B.
WMKK
WMKK is the ICAO airport code for Kuala Lumpur International Airport, the main hub for Malaysia Airlines.
-
C.
WNGX
WNGX is the radio callsign assigned to the vessel M/V Aurora, used for its maritime identification and communication.
-
D.
WDSY-FM
WDSY-FM is a Pittsburgh-based country music radio station that serves as a major FM outlet in the region.
-
E.
KENW-FM
KENW-FM is a public radio station serving eastern New Mexico, operated by Eastern New Mexico University and known for its news, educational, and cultural programming.
- 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_69aed96bfa1081908f7b30f2c647dee6 |
completed | March 9, 2026, 2:30 p.m. |
| NER | Named-entity recognition | batch_69aeeda7cf3c81909df30744bddbad7e |
completed | March 9, 2026, 3:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5288094408190b5fece72ead94ec1 |
completed | March 14, 2026, 9:21 a.m. |
| NEDg | Description generation | batch_69b5293b41748190929665970712707a |
completed | March 14, 2026, 9:24 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b529e9080481908ff0ec30b295cfc3 |
completed | March 14, 2026, 9:27 a.m. |
Created at: March 9, 2026, 3:23 p.m.