Triple
T14794065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economica |
E347727
|
entity |
| Predicate | isAcademicStandardReference |
P31485
|
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: [Economica, isAcademicStandardReference, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAcademicStandardReference Context triple: [Economica, isAcademicStandardReference, true]
-
A.
hasAcademicStandard
Indicates that an entity is associated with, aligned to, or governed by a specified academic or educational standard.
-
B.
isAcademicJournal
chosen
Indicates that the entity functions as an academic journal, i.e., a periodical publication that disseminates scholarly research.
-
C.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
D.
isAcademicPublicationOf
Indicates that one entity is an academic publication (e.g., paper, article, or report) that has been produced by or is associated with another entity.
-
E.
isStandardOf
Indicates that something serves as the recognized norm, reference, or benchmark by which another thing is defined, measured, or evaluated.
- 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_69d822ea8b7c819097dfadf3d45545e6 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decd5ec43c8190ad7a10a556519bb0 |
completed | April 14, 2026, 11:27 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:31 a.m.