Triple
T4458591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WGN America |
E98192
|
entity |
| Predicate | removedChicagoSportsFromNationalFeed |
P56650
|
FINISHED |
| Object | 2014 |
—
|
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: 2014 | Statement: [WGN America, removedChicagoSportsFromNationalFeed, 2014]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: removedChicagoSportsFromNationalFeed Context triple: [WGN America, removedChicagoSportsFromNationalFeed, 2014]
-
A.
cityLosingFranchise
Indicates that a city is losing, or has lost, a professional sports franchise or major team based there.
-
B.
ChicagoBearsHomeState
Indicates that the referenced entity is the U.S. state in which the Chicago Bears are based or play their home games.
-
C.
closedAsNHLVenue
Indicates that a venue has ceased operating as a host location for National Hockey League (NHL) games.
-
D.
renamedToStateFarmArena
Indicates that an entity’s name was changed to “State Farm Arena.”
-
E.
DetroitPlayer
Indicates a person who plays for, or is a member of, a sports team based in Detroit.
- F. None of above. chosen
Provenance (4 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3564485688190a0d49fdccf8724be |
completed | March 13, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69b34f649df081909d3cc2f6a1b8f282 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b354e1f0948190b645096b2b7037af |
completed | March 13, 2026, 12:05 a.m. |
Created at: March 12, 2026, 11:33 p.m.