Triple
T18807478
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forum Publishing |
E459915
|
entity |
| Predicate | workGenrePublished |
P26454
|
FINISHED |
| Object | policy analysis |
—
|
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: policy analysis | Statement: [Forum Publishing, workGenrePublished, policy analysis]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workGenrePublished Context triple: [Forum Publishing, workGenrePublished, policy analysis]
-
A.
publishedGenre
chosen
Indicates that an entity has been published in, or is associated with, a particular genre.
-
B.
isCreativeWorkOfGenre
Indicates that a creative work belongs to, or is categorized under, a particular genre.
-
C.
genreOfProducedWorks
Indicates that one entity is the genre category to which the works produced by another entity belong.
-
D.
genreOfWorkEdited
Indicates that an entity has served as an editor for a work belonging to a specified genre.
-
E.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d8ab9c819097834eac798ce810 |
completed | April 20, 2026, 3:56 a.m. |
| PD | Predicate disambiguation | batch_69e48d1b10ec8190985c6fb5766ff981 |
completed | April 19, 2026, 8:06 a.m. |
Created at: April 10, 2026, 11:53 a.m.