Triple
T25428362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Chengchi University |
E637181
|
entity |
| Predicate | primaryAcademicStrength |
P41356
|
FINISHED |
| Object | social sciences |
—
|
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: social sciences | Statement: [National Chengchi University, primaryAcademicStrength, social sciences]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryAcademicStrength Context triple: [National Chengchi University, primaryAcademicStrength, social sciences]
-
A.
hasAcademicStrengthIn
chosen
Indicates that an entity possesses notable ability, proficiency, or strong performance in a particular academic subject or field.
-
B.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
-
C.
academicFocus
Indicates the primary field of study, discipline, or subject area that an entity concentrates on academically.
-
D.
regionOfAcademicFocus
Indicates the academic subject area or discipline that an entity (such as a person or program) primarily concentrates on or specializes in.
-
E.
primaryRegionOfStudy
Indicates the main geographic or topical region that is the focus of an entity’s academic or research study.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7a225a77c81908f8953ccfeb14336 |
completed | May 3, 2026, 7:29 p.m. |
| PD | Predicate disambiguation | batch_69f7a06d4f108190bae3ab9ae431d2c7 |
completed | May 3, 2026, 7:22 p.m. |
Created at: April 21, 2026, 1:58 p.m.