Triple
T13400297
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WBBM-TV |
E319808
|
entity |
| Predicate | sisterStation |
P15137
|
FINISHED |
| Object |
WSCR
WSCR is a Chicago-based sports radio station known for its all-sports talk format and coverage of local teams.
|
E1039809
|
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: WSCR | Statement: [WBBM-TV, sisterStation, WSCR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WSCR Context triple: [WBBM-TV, sisterStation, WSCR]
-
A.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
B.
WEAG
WEAG is a former European intergovernmental forum that coordinated armaments cooperation and defense equipment collaboration among Western European nations.
-
C.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
D.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
E.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network 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: WSCR Triple: [WBBM-TV, sisterStation, WSCR]
Generated description
WSCR is a Chicago-based sports radio station known for its all-sports talk format and coverage of local teams.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WSCR Target entity description: WSCR is a Chicago-based sports radio station known for its all-sports talk format and coverage of local teams.
-
A.
WBLS
WBLS is a New York City-based urban adult contemporary radio station known for its influential programming and prominent on-air personalities.
-
B.
WEAG
WEAG is a former European intergovernmental forum that coordinated armaments cooperation and defense equipment collaboration among Western European nations.
-
C.
WMMR
WMMR is a long-running rock radio station based in Philadelphia, Pennsylvania, known for its influential role in album-oriented rock and local music culture.
-
D.
WBZ-FM
WBZ-FM is a Boston-area sports radio station known for its all-sports format and coverage of local professional teams.
-
E.
WRBW
WRBW is a television station in Orlando, Florida, serving the local market with syndicated and network 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_69d806b943cc8190b6af624d385d7e12 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbae47e99081909d8b5dba97a11988 |
completed | April 12, 2026, 2:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f730745a248190b32c11eeee618864 |
completed | May 3, 2026, 11:24 a.m. |
| NEDg | Description generation | batch_69f7313c6bcc8190a848cf8945a0ae2a |
completed | May 3, 2026, 11:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f736f2f6a081908d532dba6f34ed97 |
completed | May 3, 2026, 11:52 a.m. |
Created at: April 9, 2026, 9:34 p.m.