Triple
T591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Academy of Arts and Sciences |
E11
|
entity |
| Predicate | publicationType |
P218
|
FINISHED |
| Object | journal |
—
|
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: journal | Statement: [American Academy of Arts and Sciences, publicationType, journal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: publicationType Context triple: [American Academy of Arts and Sciences, publicationType, journal]
-
A.
hasPublication
Indicates that an entity is associated with or responsible for a specific publication.
-
B.
publicationYear
Indicates the specific calendar year in which a work was formally published or released.
-
C.
notableWork
Indicates that one entity is a significant or well-known work (such as a book, artwork, or creation) produced by another entity.
-
D.
title
Indicates that one entity serves as the formal name or designation of another entity.
-
E.
patent
Indicates that a legal protection has been granted to an entity for an invention, giving it exclusive rights to make, use, or sell that invention.
- 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_69a22735e1b081908bd0457057dcf086 |
completed | Feb. 27, 2026, 11:22 p.m. |
| NER | Named-entity recognition | batch_69a23211f05c8190b8deb03a8540d84d |
completed | Feb. 28, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69a230c2c48481908beb1db3cc9768aa |
completed | Feb. 28, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69a23211181c81909c2db8796d2aded4 |
completed | Feb. 28, 2026, 12:08 a.m. |
Created at: Feb. 27, 2026, 11:24 p.m.