Triple
T11583254
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | WXYZ-TV studios |
E274682
|
entity |
| Predicate | associatedWithMediaType |
P7961
|
FINISHED |
| Object | local news |
—
|
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: local news | Statement: [WXYZ-TV studios, associatedWithMediaType, local news]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithMediaType Context triple: [WXYZ-TV studios, associatedWithMediaType, local news]
-
A.
ownedMediaType
Indicates the type or category of media content that is owned in the context of the ownership relationship.
-
B.
belongsToMedium
Indicates that something is contained within, associated with, or part of a particular medium or channel through which it exists or is conveyed.
-
C.
hasAssociatedMedium
chosen
Indicates that one entity is linked to another entity that serves as its medium, format, or channel of expression or transmission.
-
D.
associatedWithFormat
Indicates a relationship where something is linked or connected to a particular format or formatting standard.
-
E.
associatedWithMode
Indicates a relationship in which something is linked or connected to a particular mode, method, or manner of operation or behavior.
- F. None of above.
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_69d6aae6b14c81908dc5a74bad7591f9 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904db5748190ae5f10ae86ccdf46 |
completed | April 10, 2026, 5:53 a.m. |
| PD | Predicate disambiguation | batch_69d85dcbacd0819094d4a1237055affa |
completed | April 10, 2026, 2:17 a.m. |
Created at: April 8, 2026, 9:38 p.m.