Triple
T18127317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITER |
E433908
|
entity |
| Predicate | tokamakComplexMass |
P98591
|
FINISHED |
| Object | about 23,000 tonnes |
—
|
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: about 23,000 tonnes | Statement: [ITER, tokamakComplexMass, about 23,000 tonnes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tokamakComplexMass Context triple: [ITER, tokamakComplexMass, about 23,000 tonnes]
-
A.
thermalNeutronReactor
Indicates that the subject is a nuclear reactor that operates using thermal (low-energy) neutrons to sustain its fission chain reaction.
-
B.
thermalComplex
Indicates a relationship where entities are associated through a thermal interaction, structure, or system forming a combined thermal complex.
-
C.
estimatedMassInTonnes
chosen
Indicates the approximate mass of an entity expressed in metric tonnes.
-
D.
plannedNumberOfReactors
Indicates the total number of reactors that are intended or scheduled to be built, installed, or operated for a given facility or project.
-
E.
massiveStructure
Indicates that an entity is a very large or imposing physical structure in terms of size, scale, or mass.
- 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_69d8b909e8cc81908df4cc2b8ea6d11f |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ddef4cd88190b16ef0d6ed3968c6 |
completed | April 19, 2026, 1:51 p.m. |
| PD | Predicate disambiguation | batch_69e43313ca788190baa224269e71de49 |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:29 a.m.