Triple
T768533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Silver |
E16227
|
entity |
| Predicate | electronConfiguration |
P13644
|
FINISHED |
| Object | [Kr] 4d10 5s1 |
—
|
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: [Kr] 4d10 5s1 | Statement: [Silver, electronConfiguration, [Kr] 4d10 5s1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: electronConfiguration Context triple: [Silver, electronConfiguration, [Kr] 4d10 5s1]
-
A.
configuration
Indicates that one entity specifies or defines the arrangement, setup, or parameter settings under which another entity operates or is structured.
-
B.
hasConfiguration
chosen
Indicates that an entity is associated with or defined by a particular configuration or setup.
-
C.
applicationLocation
Indicates the place or environment where an application is deployed, used, or made available.
-
D.
aircraftConfiguration
Indicates the specific arrangement or setup of an aircraft’s components, systems, or features for a given purpose or operating condition.
-
E.
primaryMirrorConfiguration
Indicates the specific structural and optical setup used for a system’s primary mirror.
- 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_69a49369a0848190af883934cee3db4c |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a765ba688190ab328bb159583077 |
completed | March 1, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69a4a5074c788190a74fc20ad24e2d26 |
completed | March 1, 2026, 8:43 p.m. |
Created at: March 1, 2026, 7:37 p.m.