Triple
T23120357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Spherical Torus Experiment |
E576874
|
entity |
| Predicate | upgradeCompleted |
P150982
|
FINISHED |
| Object | 2015 |
—
|
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: 2015 | Statement: [National Spherical Torus Experiment, upgradeCompleted, 2015]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: upgradeCompleted Context triple: [National Spherical Torus Experiment, upgradeCompleted, 2015]
-
A.
upgradeStatus
Indicates the current state or progress of an upgrade process applied to an entity.
-
B.
installationCompleted
Indicates that the process of installing something has finished successfully.
-
C.
upgradePhase
Indicates the stage or step within a process where an entity is being upgraded or transitioned to a more advanced version or state.
-
D.
underwentUpgrade
Indicates that an entity has experienced an improvement or enhancement process that changed it to a newer or more advanced state.
-
E.
conversionCompleted
Indicates that a previously initiated conversion process has finished successfully.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e4f9be881908307838bfb5edc0c |
completed | April 29, 2026, 4:51 a.m. |
| PD | Predicate disambiguation | batch_69ef89f020588190b43393e048e7eda3 |
completed | April 27, 2026, 4:08 p.m. |
| PDg | Predicate description generation | batch_69ef9b7494f4819088ae59ea3d0ae8ab |
completed | April 27, 2026, 5:23 p.m. |
Created at: April 17, 2026, 3:59 p.m.