Triple
T37667579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Methodist University of Piracicaba |
E937861
|
entity |
| Predicate | academicInfluence |
P94280
|
FINISHED |
| Object | regional |
—
|
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: regional | Statement: [Methodist University of Piracicaba, academicInfluence, regional]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: academicInfluence Context triple: [Methodist University of Piracicaba, academicInfluence, regional]
-
A.
academicImpact
chosen
Indicates the influence or contribution that one entity’s scholarly work has on the academic recognition, development, or progress of another entity or field.
-
B.
academicReputation
Indicates the perceived quality and standing of an entity within the academic community, based on factors like scholarly impact, prestige, and recognition.
-
C.
influencedScholar
Indicates that one scholar has had a significant intellectual or academic impact on another scholar’s work, ideas, or development.
-
D.
researchImpact
Indicates the influence or contribution that a piece of research has on subsequent work, practice, policy, or broader outcomes.
-
E.
academicOutput
Indicates the scholarly work or research products generated by an individual, group, or institution, such as publications, reports, or other academic contributions.
- 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_69f76ed6df7c8190b018e5baea716ceb |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba9e27d0c81908342e28f016d221a |
completed | May 6, 2026, 8:51 p.m. |
| PD | Predicate disambiguation | batch_69fba887821c8190ae93ef1dd389e9c8 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.