Triple
T22337043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World’s Largest Store |
E552176
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
WLS
WLS is a Chicago-based AM radio station historically branded as “The World’s Largest Store” and long known for its influential music and talk programming.
|
E1530676
|
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: WLS | Statement: [World’s Largest Store, hasAbbreviation, WLS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WLS Context triple: [World’s Largest Store, hasAbbreviation, WLS]
-
A.
WLS
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
-
B.
WLS
WLS is the National Rail station code for Woolston railway station in Southampton, England.
-
C.
WLS
WLS is the IATA airport code for Hihifo Airport, which serves the island of Wallis in the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
D.
WLS-FM
WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
-
E.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
- 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: WLS Triple: [World’s Largest Store, hasAbbreviation, WLS]
Generated description
WLS is a Chicago-based AM radio station historically branded as “The World’s Largest Store” and long known for its influential music and talk programming.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WLS Target entity description: WLS is a Chicago-based AM radio station historically branded as “The World’s Largest Store” and long known for its influential music and talk programming.
-
A.
WLS
WLS is a theological seminary in Mequon, Wisconsin, that trains pastors for the Wisconsin Evangelical Lutheran Synod.
-
B.
WLS
WLS is the National Rail station code for Woolston railway station in Southampton, England.
-
C.
WLS
WLS is the IATA airport code for Hihifo Airport, which serves the island of Wallis in the French overseas collectivity of Wallis and Futuna in the South Pacific.
-
D.
WLS-FM
WLS-FM is a Chicago-based commercial radio station known for its classic hits format and shared heritage with the historic WLS brand.
-
E.
WLS-TV
WLS-TV is a major ABC-owned and operated television station serving the Chicago, Illinois media market.
- 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_69e11e494eec81909c4d2d51f69499d9 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157804e60819094e2a903ace6f4b2 |
completed | April 29, 2026, 12:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0ad52b995c819099fe22fe76e780ee |
completed | May 18, 2026, 9 a.m. |
| NEDg | Description generation | batch_6a0ad993b9188190aacf482038b3cd29 |
completed | May 18, 2026, 9:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ada0cef848190864a88d7baa24a81 |
completed | May 18, 2026, 9:21 a.m. |
Created at: April 16, 2026, 8:43 p.m.