Triple
T21922870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | scanning tunneling microscope |
E541363
|
entity |
| Predicate | inventedInYear |
P633
|
FINISHED |
| Object | 1981 |
—
|
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: 1981 | Statement: [scanning tunneling microscope, inventedInYear, 1981]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inventedInYear Context triple: [scanning tunneling microscope, inventedInYear, 1981]
-
A.
wasInventedInYear
chosen
Indicates that an entity was created or invented in a specific calendar year.
-
B.
wasInventedBy
Indicates that something (typically an object, concept, or process) was created or brought into existence by a particular inventor or originator.
-
C.
introducedInYear
Indicates the year in which something was first introduced, launched, or made available.
-
D.
formulatedInYear
Indicates the specific calendar year in which something was originally created, devised, or formally established.
-
E.
firstDeveloped
Indicates that one entity was the earliest to create, originate, or bring another entity into existence.
- 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_69e0c47d74488190a15119108794a307 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1233d096c8190af0d7cd21879c91b |
completed | April 28, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e6f5efc208819091ed2cf6841fa600 |
completed | April 21, 2026, 3:58 a.m. |
Created at: April 16, 2026, 7:45 p.m.