Triple
T11650351
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Economic Review: Insights |
E276884
|
entity |
| Predicate | articleLengthPolicy |
P100186
|
FINISHED |
| Object | short-format articles |
—
|
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: short-format articles | Statement: [American Economic Review: Insights, articleLengthPolicy, short-format articles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: articleLengthPolicy Context triple: [American Economic Review: Insights, articleLengthPolicy, short-format articles]
-
A.
commentLengthGuideline
Indicates that there is a recommended or required range or limit for the length of a comment in a given context.
-
B.
languagePolicyAspect
Indicates an aspect or component of a broader language policy, such as its goals, rules, or implementation measures.
-
C.
length
Indicates a measurement relationship where a value specifies how long something is from one end to the other.
-
D.
sentenceLength
Indicates the length or number of units (such as characters, words, or tokens) that a given sentence contains.
-
E.
extensionLength
Indicates the length or magnitude of an extension from a reference point or base object.
- 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_69d6aafbb3c081908a9cdb4ecb8d981d |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a2cea9308190a13f7dd995ea07a4 |
completed | April 10, 2026, 7:12 a.m. |
| PD | Predicate disambiguation | batch_69d85ddc780481909a3bc63832fe2bd2 |
completed | April 10, 2026, 2:18 a.m. |
| PDg | Predicate description generation | batch_69d87f30642c8190ad94fa061cde186b |
completed | April 10, 2026, 4:40 a.m. |
Created at: April 8, 2026, 9:39 p.m.