Triple
T19714021
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soochow University |
E473425
|
entity |
| Predicate | hasResearchStrengthIn |
P934
|
FINISHED |
| Object | nanotechnology |
—
|
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: nanotechnology | Statement: [Soochow University, hasResearchStrengthIn, nanotechnology]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasResearchStrengthIn Context triple: [Soochow University, hasResearchStrengthIn, nanotechnology]
-
A.
hasAcademicStrengthIn
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.
hasResearchValueIn
Indicates that something possesses significance, usefulness, or potential contribution within a specified research area, context, or domain.
-
D.
hasResearchArea
chosen
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
E.
hasResearched
Indicates that an entity has conducted study, investigation, or systematic inquiry into another entity or topic.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6440b47508190a8a33325b00841dc |
completed | April 20, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.