Triple
T8216857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hungarian Academy of Sciences |
E191954
|
entity |
| Predicate | coordinatesResearch |
P24329
|
FINISHED |
| Object | scientific research in Hungary |
—
|
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: scientific research in Hungary | Statement: [Hungarian Academy of Sciences, coordinatesResearch, scientific research in Hungary]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: coordinatesResearch Context triple: [Hungarian Academy of Sciences, coordinatesResearch, scientific research in Hungary]
-
A.
coResearcher
Indicates that two or more individuals collaborate as peers on the same research work or project.
-
B.
nearResearchCluster
Indicates that one entity is located in close physical proximity to a designated research cluster or research-focused area.
-
C.
researchCommunity
Indicates a relationship where entities are connected through participation in, contribution to, or membership within a shared research community or collaborative research network.
-
D.
researchCenter
Indicates that one entity functions as a research center associated with, operated by, or focused on the other entity.
-
E.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of 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_69ca82c8c054819087fedd9a5436b8a3 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb776f41108190bed1c6a8ddbea374 |
completed | March 31, 2026, 7:27 a.m. |
| PD | Predicate disambiguation | batch_69cb36ad01ac81909609b15f6a6c8581 |
completed | March 31, 2026, 2:51 a.m. |
Created at: March 30, 2026, 5:44 p.m.