Triple
T13787592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WFTC |
E331303
|
entity |
| Predicate | hasSisterStation |
P15137
|
FINISHED |
| Object | KMSP-TV |
E331302
|
NE 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: KMSP-TV | Statement: [WFTC, hasSisterStation, KMSP-TV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KMSP-TV Context triple: [WFTC, hasSisterStation, KMSP-TV]
-
A.
KMSP-TV
chosen
KMSP-TV is a Fox-affiliated television station serving the Minneapolis–Saint Paul metropolitan area.
-
B.
KSAZ-TV
KSAZ-TV is a Fox-affiliated television station serving the Phoenix, Arizona market.
-
C.
KCAL-TV
KCAL-TV is a Los Angeles-based television station known for its local news and sports coverage, including broadcasts of Los Angeles Lakers games.
-
D.
KING-TV
KING-TV is a Seattle-based NBC-affiliated television station known for its local news coverage and for originating popular educational programs such as "Bill Nye the Science Guy."
-
E.
KSL-TV
KSL-TV is a television station based in Salt Lake City, Utah, known for its local news coverage and affiliation with the NBC network.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0249e4f88190a80316394940627d |
completed | April 14, 2026, 9 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b07d872c81908f912263d8f7c80d |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.