Triple
T27090678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | KACL |
E686157
|
entity |
| Predicate | ownershipStatusInSeries |
P163906
|
FINISHED |
| Object | privately owned station |
—
|
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: privately owned station | Statement: [KACL, ownershipStatusInSeries, privately owned station]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownershipStatusInSeries Context triple: [KACL, ownershipStatusInSeries, privately owned station]
-
A.
ownerInSeries
Indicates that an entity serves as the owner or controlling party within the context of a particular series or sequence.
-
B.
legalStatusInSeries
Indicates the specific legal standing or role an entity holds within a particular series or grouped legal structure.
-
C.
ownedIn
Indicates that one entity possesses or holds legal or recognized ownership of another entity within a specific context, domain, or scope.
-
D.
ownsTelevisionSeries
Indicates that an entity holds ownership rights over a particular television series.
-
E.
ownershipRecordedBy
Indicates that the fact or status of ownership of an entity is documented or registered by a particular agent or system.
- 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_69ef148940ec819097b5c20fbfbf7c81 |
completed | April 27, 2026, 7:47 a.m. |
| NER | Named-entity recognition | batch_69f6416fbf4081909b0913c337927fc4 |
completed | May 2, 2026, 6:24 p.m. |
| PD | Predicate disambiguation | batch_69f63c663be481908f233d25d28713a4 |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 8:40 a.m.