Triple
T35760126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CDC 6600 |
E1033548
|
entity |
| Predicate | fastestComputerUntil |
P184899
|
FINISHED |
| Object | 1969 |
—
|
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: 1969 | Statement: [CDC 6600, fastestComputerUntil, 1969]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fastestComputerUntil Context triple: [CDC 6600, fastestComputerUntil, 1969]
-
A.
fastestComputerFrom
Indicates that one entity is the fastest computer originating from, or associated with, a specified source, group, or location.
-
B.
top500List
Indicates that an entity is included in a ranking or compilation of the top 500 items within a particular domain or category.
-
C.
usedComputerRankings
Indicates that the selection or decision was based on rankings generated by a computer system.
-
D.
computes
Indicates that one entity performs a calculation or processing operation to produce a result from given data or inputs.
-
E.
computingModel
Indicates the computational framework, paradigm, or formal system used to perform or describe a computation.
- 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_69f76e1262f48190a313318665acc189 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: May 3, 2026, 4:06 p.m.