Triple
T8019013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MS in Information Systems |
E186690
|
entity |
| Predicate | mayRequireBackgroundIn |
P80595
|
FINISHED |
| Object | information systems |
—
|
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: information systems | Statement: [MS in Information Systems, mayRequireBackgroundIn, information systems]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mayRequireBackgroundIn Context triple: [MS in Information Systems, mayRequireBackgroundIn, information systems]
-
A.
mayRequest
Indicates that one entity is permitted or authorized to make a request to another entity or for a particular resource or action.
-
B.
mayRequireAdditionalStep
Indicates that performing one action, process, or condition can necessitate an extra step beyond the standard or initial sequence.
-
C.
mayRequireComponent
Indicates that one entity can optionally depend on or need another entity as a component for its proper use or operation.
-
D.
mayPresent
Indicates that one entity is permitted or authorized to present, display, or introduce another entity or item.
-
E.
mayEnter
Indicates that one entity is permitted or authorized to enter or access another entity or location.
- 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3df626e8819098a9f8908dfdad3b |
completed | March 31, 2026, 3:22 a.m. |
| PD | Predicate disambiguation | batch_69cb049253d08190bafcecfde493ab8b |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14bcbbc0819094a98e7ffffb7a40 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:20 p.m.