Triple
T17004898
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arak heavy water reactor |
E412544
|
entity |
| Predicate | designedNeutronFlux |
P52330
|
FINISHED |
| Object | high neutron flux for research |
—
|
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: high neutron flux for research | Statement: [Arak heavy water reactor, designedNeutronFlux, high neutron flux for research]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: designedNeutronFlux Context triple: [Arak heavy water reactor, designedNeutronFlux, high neutron flux for research]
-
A.
neutronFluxType
chosen
Indicates the specific classification or category of neutron flux characterizing how neutrons are distributed or behave in a given context.
-
B.
neutronEmissionRate
Indicates the rate at which neutrons are emitted from a source or system over a given period of time.
-
C.
usesNeutronModerator
Indicates that one entity employs another entity as a neutron moderator to slow down neutrons in a nuclear process or system.
-
D.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
E.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d382400c819092ec0ca0de815888 |
completed | April 18, 2026, 6:54 p.m. |
| PD | Predicate disambiguation | batch_69e35d552bc08190af17ef7659e094ef |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.