Triple
T31220986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liaoning University |
E796007
|
entity |
| Predicate | hasDisciplineStrengthIn |
P40124
|
FINISHED |
| Object | applied economics |
—
|
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: applied economics | Statement: [Liaoning University, hasDisciplineStrengthIn, applied economics]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasDisciplineStrengthIn Context triple: [Liaoning University, hasDisciplineStrengthIn, applied economics]
-
A.
disciplineStrength
Indicates the degree or intensity of self-control or disciplined behavior an entity exhibits in its actions or decisions.
-
B.
hasDisciplineRole
Indicates that an entity holds a specific role or function within a particular discipline or field.
-
C.
hasDisciplineSystem
Indicates that an entity possesses or is governed by a particular system of rules, methods, or practices for maintaining discipline.
-
D.
hasNotableStrengthIn
chosen
Indicates that an entity possesses a particularly high level of ability, effectiveness, or advantage in a specific area or domain.
-
E.
supportsDiscipline
Indicates that one entity provides assistance, resources, or endorsement that helps sustain or advance a particular discipline.
- 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_69f224d9d52c8190a61f68ded37fa755 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69fde9fc184c8190bebef35df0e76076 |
completed | May 8, 2026, 1:49 p.m. |
| PD | Predicate disambiguation | batch_69fde6e5beb4819094945a695e961d88 |
completed | May 8, 2026, 1:36 p.m. |
Created at: April 29, 2026, 9:10 p.m.