Triple
T6034354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Immersive Reader |
E134380
|
entity |
| Predicate | supportsUserGroup |
P55187
|
FINISHED |
| Object | students |
—
|
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: students | Statement: [Immersive Reader, supportsUserGroup, students]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportsUserGroup Context triple: [Immersive Reader, supportsUserGroup, students]
-
A.
hasSupporterGroup
Indicates that an entity is associated with a group of supporters that backs, promotes, or advocates for it.
-
B.
hasUserGroup
Indicates that a user is associated with, belongs to, or is a member of a specific user group.
-
C.
supportsMultiuser
Indicates that the subject is capable of handling or enabling simultaneous use by multiple users.
-
D.
supportsUserType
chosen
Indicates that one entity is compatible with, or provides functionality for, a specified type or category of user.
-
E.
supportsTeam
Indicates that one entity provides backing, assistance, or endorsement to a particular team.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056b33a7c8190ad6282286199b192 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049e9a68c81909da0cfe4779ce9b5 |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.