Triple
T10436836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Library and Information Science |
E246064
|
entity |
| Predicate | preparesForSector |
P2534
|
FINISHED |
| Object | academic libraries |
—
|
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: academic libraries | Statement: [School of Library and Information Science, preparesForSector, academic libraries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preparesForSector Context triple: [School of Library and Information Science, preparesForSector, academic libraries]
-
A.
sectorPreparation
Indicates that an entity is involved in getting a specific sector ready for operation, use, or transition through planning, setup, or related preparatory actions.
-
B.
preparesFor
chosen
Indicates that one entity is used, designed, or undertaken in order to get another entity ready for a future event, state, or activity.
-
C.
preparedFor
Indicates that one entity has been made ready, equipped, or arranged in anticipation of use by or in connection with another entity.
-
D.
preparedAt
Indicates the time or place at which something was prepared or made ready.
-
E.
preparesForEvent
Indicates that one entity performs actions or makes arrangements in anticipation of a specific event.
- 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_69d381bf3dc08190bf35a2643e4e8f22 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4ea853c308190be95ae8dffe67ac1 |
completed | April 7, 2026, 11:29 a.m. |
| PD | Predicate disambiguation | batch_69d4dfbc546881908f312c66ee195f79 |
completed | April 7, 2026, 10:43 a.m. |
Created at: April 6, 2026, 12:14 p.m.