Triple
T10219833
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herald-Traveler Corporation |
E242545
|
entity |
| Predicate | ownedMediaType |
P92814
|
FINISHED |
| Object | daily newspapers |
—
|
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: daily newspapers | Statement: [Herald-Traveler Corporation, ownedMediaType, daily newspapers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ownedMediaType Context triple: [Herald-Traveler Corporation, ownedMediaType, daily newspapers]
-
A.
mediaType
Indicates the format or category of media associated with an entity, such as text, image, audio, or video.
-
B.
eligibleMedia
Indicates that certain media items qualify under specified conditions or rules for participation, use, or consideration in a given context.
-
C.
mediaTypeExample
Indicates that something serves as an example or illustrative instance of a particular media type.
-
D.
canonicalMedium
Indicates the primary or standard medium through which something is most authoritatively or typically expressed, distributed, or experienced.
-
E.
mediaReferenceType
Indicates the specific kind of relationship or role that a referenced media item has in relation to another entity or context.
- 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_69d381ae26c48190985abd0e25ee5d04 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d3aa715a3c8190a9ccee7bcece0346 |
completed | April 6, 2026, 12:43 p.m. |
| PD | Predicate disambiguation | batch_69d3955f61f88190b8d37ff645cd44d3 |
completed | April 6, 2026, 11:13 a.m. |
| PDg | Predicate description generation | batch_69d3aa208c248190a0fb186b106389f3 |
completed | April 6, 2026, 12:42 p.m. |
Created at: April 6, 2026, 11:08 a.m.