Triple
T10436846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | School of Library and Information Science |
E246064
|
entity |
| Predicate | emphasizesSkill |
P45342
|
FINISHED |
| Object | information organization |
—
|
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 organization | Statement: [School of Library and Information Science, emphasizesSkill, information organization]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: emphasizesSkill Context triple: [School of Library and Information Science, emphasizesSkill, information organization]
-
A.
skillEmphasis
chosen
Indicates that a particular skill is given special focus, priority, or importance within a context such as a role, task, or curriculum.
-
B.
notableRecruitingSkill
Indicates that an entity is recognized for having significant or distinguished ability in recruiting others.
-
C.
skilledIn
Indicates that an entity possesses ability, expertise, or proficiency in performing or using another entity (such as a task, tool, or domain).
-
D.
skillSet
Indicates that an entity possesses or is associated with a particular collection of skills or competencies.
-
E.
skillAssessed
Indicates that an entity’s skill or competency has been evaluated or measured, typically by another agent or process.
- 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.