Triple
T26616434
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AA Files |
E668071
|
entity |
| Predicate | isAcademic |
P70075
|
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: [AA Files, isAcademic, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAcademic Context triple: [AA Files, isAcademic, true]
-
A.
isAcademicJournal
Indicates that the entity functions as an academic journal, i.e., a periodical publication that disseminates scholarly research.
-
B.
hasAcademicCharacter
chosen
Indicates that something possesses qualities, standards, or attributes associated with academic or scholarly work.
-
C.
hasAcademicScope
Indicates that something pertains to, falls within, or defines a particular academic field, discipline, or area of scholarly focus.
-
D.
isScholarly
Indicates that an entity exhibits characteristics of academic rigor, research-based inquiry, and adherence to scholarly standards or conventions.
-
E.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
- 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_69ee9cfe16088190a3dddd68e3c7b1ea |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f615acd3888190959a506353263558 |
completed | May 2, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f60b8bb0d08190ab5a9a2a8847c6f4 |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 27, 2026, 2:19 a.m.