Triple
T33075593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shahe Campus |
E846351
|
entity |
| Predicate | hasPrimaryDisciplineCategory |
P56047
|
FINISHED |
| Object | electronic information |
—
|
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: electronic information | Statement: [Shahe Campus, hasPrimaryDisciplineCategory, electronic information]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPrimaryDisciplineCategory Context triple: [Shahe Campus, hasPrimaryDisciplineCategory, electronic information]
-
A.
hasPrimaryDisciplineStructure
Indicates that an entity is associated with its main or principal organizational or structural form of discipline.
-
B.
hasPrimarySubject
chosen
Indicates that an entity is the main or principal subject associated with another entity or resource.
-
C.
hasSubdiscipline
Indicates that one discipline includes another, more specialized field of study as a subordinate branch.
-
D.
hasPrimaryCourse
Indicates that an entity is associated with its main or principal course in a given context (such as a meal, curriculum, or sequence of offerings).
-
E.
includesDisciplineCategory
Indicates that one entity encompasses or contains a specific discipline category as part of its overall scope or classification.
- 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_69f3495405b88190967af2157b43b896 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01531add1c8190b51add7bb046e2cb |
completed | May 11, 2026, 3:55 a.m. |
| PD | Predicate disambiguation | batch_6a014fef3d8c81909b509d51d0c4cdc7 |
completed | May 11, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:25 a.m.