Triple
T37697098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Economic Review: Macroeconomics |
E938957
|
entity |
| Predicate | field journal of the American Economic Association |
P1753
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [American Economic Review: Macroeconomics, field journal of the American Economic Association, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: field journal of the American Economic Association Context triple: [American Economic Review: Macroeconomics, field journal of the American Economic Association, true]
-
A.
eligibleJournal
Indicates that a journal meets the required criteria or conditions to be considered suitable or valid for a particular purpose or process.
-
B.
fieldOfPublication
chosen
Indicates the academic or topical area in which a work is published.
-
C.
journalUsedFor
Indicates that a particular journal serves as the medium or venue used for a specified purpose, such as publishing, recording, or disseminating content or information.
-
D.
notableJournal
Indicates that the subject is a journal that is recognized as notable or significant in some relevant context.
-
E.
journalType
Indicates the specific category or format of a journal associated with an entity.
- 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_69f76eda6ae48190b3111071eeacc038 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:18 p.m.