Triple
T29343497
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MITS |
E744098
|
entity |
| Predicate | introducedAltair8800InYear |
P3297
|
FINISHED |
| Object | 1975 |
—
|
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: 1975 | Statement: [MITS, introducedAltair8800InYear, 1975]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: introducedAltair8800InYear Context triple: [MITS, introducedAltair8800InYear, 1975]
-
A.
introducedInYear
chosen
Indicates the year in which something was first introduced, launched, or made available.
-
B.
firstCommercialCPU
Indicates that the subject is the first central processing unit of its kind to be made available commercially.
-
C.
introducedInPublicationYear
Indicates the year in which something (such as a concept, method, or product) was first introduced or presented in a publication.
-
D.
yearOfFirstComputerVisualization
Indicates the calendar year in which an entity’s first computer-generated visualization was produced or occurred.
-
E.
firstCommercialReleaseYear
Indicates the calendar year in which something (such as a product, work, or service) was first made commercially available to the public.
- 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_69f09126cfcc8190899b16fbf3c2bf7b |
completed | April 28, 2026, 10:51 a.m. |
| NER | Named-entity recognition | batch_69f7c29e1b848190b945c6c6120a5330 |
completed | May 3, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69f7c1b6e7a881908deb96bedb2713f4 |
completed | May 3, 2026, 9:44 p.m. |
Created at: April 28, 2026, 1:35 p.m.