Triple
T6508662
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Fusion Research Institute |
E150072
|
entity |
| Predicate | typeOfEnergyResearched |
P24329
|
FINISHED |
| Object | nuclear fusion energy |
—
|
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: nuclear fusion energy | Statement: [National Fusion Research Institute, typeOfEnergyResearched, nuclear fusion energy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfEnergyResearched Context triple: [National Fusion Research Institute, typeOfEnergyResearched, nuclear fusion energy]
-
A.
hasResearchArea
Indicates that an entity (such as a person, project, or organization) is associated with or focused on a particular field or area of research.
-
B.
researchTopic
chosen
Indicates that a subject conducts or focuses research on a particular topic or area of study.
-
C.
usesResearchSubject
Indicates that one entity employs or utilizes another entity as a research subject in a study or investigation.
-
D.
conductsResearchAt
Indicates that a subject carries out research activities at a specified institution, organization, or location.
-
E.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
- 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_69c687ef291081909d437f035eef1cda |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c69f386aa08190bfc8592a92ec6339 |
completed | March 27, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_69c68ab714908190aa7c2fbf64078e15 |
completed | March 27, 2026, 1:48 p.m. |
Created at: March 27, 2026, 1:43 p.m.