Triple
T27008876
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Glass Key award |
E680325
|
entity |
| Predicate | eligibleAuthorsFrom |
P37318
|
FINISHED |
| Object | Denmark |
—
|
NE NERFINISHED |
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: Denmark | Statement: [Glass Key award, eligibleAuthorsFrom, Denmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eligibleAuthorsFrom Context triple: [Glass Key award, eligibleAuthorsFrom, Denmark]
-
A.
eligibleAuthors
chosen
Indicates that certain authors meet the required conditions or criteria to qualify for a specified role, status, or action.
-
B.
includesAuthorsFrom
Indicates that one entity contains or incorporates authors who are also associated with another entity.
-
C.
targetAuthors
Indicates that certain authors are the intended or designated recipients, subjects, or focus of an action or operation.
-
D.
authors
Indicates that one entity is the creator or writer of another entity, such as a document, work, or piece of content.
-
E.
authorOfWorkAppearingIn
Indicates that one entity is the creator or writer of a work that appears within another work or publication.
- 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_69eeeb53939c8190bd431f32b060f01f |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 7:02 a.m.