Triple
T10787761
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apollo Guidance Computer |
E254491
|
entity |
| Predicate | numberOfICs |
P62622
|
FINISHED |
| Object | approximately 5000 integrated circuits |
—
|
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: approximately 5000 integrated circuits | Statement: [Apollo Guidance Computer, numberOfICs, approximately 5000 integrated circuits]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfICs Context triple: [Apollo Guidance Computer, numberOfICs, approximately 5000 integrated circuits]
-
A.
transistorCount
Indicates the number of transistors contained within an electronic component or device.
-
B.
transistorCountApprox
Indicates an approximate relationship specifying the estimated number of transistors associated with an entity.
-
C.
dataPinCount
Indicates the number of data pins associated with or used by an entity in a given context.
-
D.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
E.
numberOfChips
chosen
Indicates the quantity of chips associated with a given entity or situation.
- 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.