Triple
T10190601
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Missouri Research Reactor |
E238021
|
entity |
| Predicate | neutronSourceType |
P92614
|
FINISHED |
| Object | thermal neutron source |
—
|
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: thermal neutron source | Statement: [University of Missouri Research Reactor, neutronSourceType, thermal neutron source]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: neutronSourceType Context triple: [University of Missouri Research Reactor, neutronSourceType, thermal neutron source]
-
A.
neutronFluxType
Indicates the specific classification or category of neutron flux characterizing how neutrons are distributed or behave in a given context.
-
B.
usesNeutronReflector
Indicates that an entity employs a neutron reflector to bounce escaping neutrons back into a region, typically to enhance or sustain a nuclear reaction.
-
C.
mainSourceType
Indicates the primary category or kind of source from which something originates or is derived.
-
D.
usesSourceType
Indicates that one entity makes use of, relies on, or operates based on a particular type or category of source.
-
E.
admissionSource
Indicates the origin or point of referral from which an entity (typically a person or case) was admitted into a system, institution, or process.
- F. None of above. chosen
Provenance (4 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_69ca84de1b208190bf17bb305b002605 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cded7eb1148190a2d175163685e233 |
completed | April 2, 2026, 4:15 a.m. |
| PD | Predicate disambiguation | batch_69cd7c8477648190bc55c56aeec507d3 |
completed | April 1, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69cd7edc6cf081909d95859d880a4059 |
completed | April 1, 2026, 8:23 p.m. |
Created at: March 30, 2026, 9:13 p.m.