Triple
T36467433
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maplesoft |
E898457
|
entity |
| Predicate | hasAcademicUsers |
P135476
|
FINISHED |
| Object | universities worldwide |
—
|
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: universities worldwide | Statement: [Maplesoft, hasAcademicUsers, universities worldwide]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAcademicUsers Context triple: [Maplesoft, hasAcademicUsers, universities worldwide]
-
A.
hasAcademicStaff
Indicates that an institution or organization employs or is associated with one or more academic staff members.
-
B.
hasAcademicStudent
Indicates that an academic advisor, mentor, or supervisor has a student under their academic guidance or supervision.
-
C.
hasAcademicCommunity
chosen
Indicates that an entity is associated with, belongs to, or participates in a particular academic community or scholarly group.
-
D.
hasAcademicComponent
Indicates that something includes, involves, or is associated with an academic or educational element as part of its structure or content.
-
E.
hasAcademicFunction
Indicates that an entity serves a specific academic role, duty, or function within an educational or scholarly context.
- 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_69f76e58ebd88190b75d9b169b59d793 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcf36d2894819089b7db8e91b63c9d |
completed | May 7, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69fcf25c0a108190bfa823474098640b |
completed | May 7, 2026, 8:13 p.m. |
Created at: May 3, 2026, 4:10 p.m.