Triple
T22573044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American City Business Journals |
E544322
|
entity |
| Predicate | hasPrintPublications |
P148787
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [American City Business Journals, hasPrintPublications, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrintPublications Context triple: [American City Business Journals, hasPrintPublications, yes]
-
A.
hasNumberOfPubs
Indicates that an entity is associated with a specific count of publications.
-
B.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
C.
hasResearchOutput
Indicates that an entity produces, is associated with, or is responsible for a particular research output or scholarly work.
-
D.
hasNotablePublicationType
Indicates that an entity is associated with a publication of a specific notable type or category.
-
E.
hasRelatedPublication
Indicates that an entity is associated with one or more publications that are relevant or connected to it in content, context, or subject matter.
- 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_69e11e30d05481909df915354c89f0d6 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f15fea683c81908fbf9f171eed3341 |
completed | April 29, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69ee626e6bb08190ada4dd8b48cc0c43 |
completed | April 26, 2026, 7:07 p.m. |
| PDg | Predicate description generation | batch_69ee8841e9cc81908d23b34215e3be71 |
completed | April 26, 2026, 9:48 p.m. |
Created at: April 16, 2026, 8:53 p.m.