Triple
T4143132
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TRIGA research reactor |
E89319
|
entity |
| Predicate | usesNeutronReflector |
P54127
|
FINISHED |
| Object | graphite |
—
|
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: graphite | Statement: [TRIGA research reactor, usesNeutronReflector, graphite]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesNeutronReflector Context triple: [TRIGA research reactor, usesNeutronReflector, graphite]
-
A.
hasReflectionNebula
Indicates that one entity possesses or is associated with a reflection nebula.
-
B.
usesNestFor
Indicates that one entity makes use of another entity specifically as a nest or nesting place.
-
C.
hasNumberOfNasmythFoci
Indicates the relationship specifying how many Nasmyth foci are associated with a given telescope or optical system.
-
D.
neutronSpectrum
Indicates the energy distribution or range of neutrons present in a given system, interaction, or environment.
-
E.
hasMirrorSupportSystem
Indicates that an entity is equipped with or connected to a system that supports or stabilizes a mirror.
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af03a0f3408190adba7a8513bd3d12 |
completed | March 9, 2026, 5:30 p.m. |
| PD | Predicate disambiguation | batch_69af018a54848190987f18c066c75068 |
completed | March 9, 2026, 5:21 p.m. |
| PDg | Predicate description generation | batch_69af039fb19c8190b20e62a3b3ad25c1 |
completed | March 9, 2026, 5:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.