Triple
T10787752
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Guidance Computer |
E254491
|
entity |
| Predicate | erasableMemorySize |
P87535
|
FINISHED |
| Object | 2 kilowords |
—
|
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: 2 kilowords | Statement: [Apollo Guidance Computer, erasableMemorySize, 2 kilowords]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: erasableMemorySize Context triple: [Apollo Guidance Computer, erasableMemorySize, 2 kilowords]
-
A.
mainMemorySize
Indicates the relationship specifying the size or capacity of an entity's main memory.
-
B.
builtInMemoryOf
Indicates that something was constructed as a tribute or commemoration to a particular person, group, or event.
-
C.
dataCapacity
chosen
Indicates the maximum amount of data that something can store, handle, or transmit.
-
D.
videoMemorySize
Indicates the amount of video memory associated with a graphics-related component or device.
-
E.
installedCapacity
Indicates the maximum output or production capability that has been set up or built for a system, facility, or equipment, typically measured under specified conditions.
- 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_69d6aa609f008190a294200aefcb7bd5 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d732d65fcc8190ab5573a861409c56 |
completed | April 9, 2026, 5:02 a.m. |
| PD | Predicate disambiguation | batch_69d6f316940c819092a96c429629fdef |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:17 p.m.