Triple
T13529073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristall |
E323084
|
entity |
| Predicate | hasExperimentType |
P2119
|
FINISHED |
| Object | materials processing furnaces |
—
|
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: materials processing furnaces | Statement: [Kristall, hasExperimentType, materials processing furnaces]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasExperimentType Context triple: [Kristall, hasExperimentType, materials processing furnaces]
-
A.
hasTypeOfExperiment
chosen
Indicates that an experiment is associated with or classified under a specific type or category of experiment.
-
B.
includesExperiment
Indicates that one entity contains or encompasses a specific experiment as part of its scope, composition, or content.
-
C.
supportsExperiment
Indicates that one entity provides the necessary resources, conditions, or assistance for an experiment to be conducted or to function as intended.
-
D.
experimentedOn
Indicates that one entity conducted experiments or tests on another entity as the subject of investigation.
-
E.
hasExperimentalHall
Indicates that an entity possesses or includes an experimental hall as part of its facilities or structure.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:44 p.m.