Triple
T5399691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | High Flux Beam Reactor |
E120741
|
entity |
| Predicate | researchUsers |
P12589
|
FINISHED |
| Object | university scientists |
—
|
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: university scientists | Statement: [High Flux Beam Reactor, researchUsers, university scientists]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: researchUsers Context triple: [High Flux Beam Reactor, researchUsers, university scientists]
-
A.
researchUser
Indicates that an entity conducts research on, studies, or investigates a particular user.
-
B.
hasResearcher
Indicates that an entity is associated with or linked to a specific researcher responsible for work, study, or investigation related to it.
-
C.
associatedScholar
Indicates a relationship where a scholar is linked or connected to another entity (such as a work, institution, or concept) through relevant academic or intellectual involvement.
-
D.
involvedScientist
chosen
Indicates that a scientist participated in, contributed to, or was otherwise actively involved with a specified project, study, or activity.
-
E.
researchStrength
Indicates the degree to which an entity possesses strong capabilities, performance, or impact in conducting research.
- 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_69bd4637b92c8190b815b6443ae4b323 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8932b8bc8190bd31e11b167a7212 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd84660ea08190a641084814fcf94d |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:04 p.m.