Triple
T35125108
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas V 500 series |
E1014279
|
entity |
| Predicate | fairingLengthVariants |
P127302
|
FINISHED |
| Object | short 5 m fairing |
—
|
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: short 5 m fairing | Statement: [Atlas V 500 series, fairingLengthVariants, short 5 m fairing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: fairingLengthVariants Context triple: [Atlas V 500 series, fairingLengthVariants, short 5 m fairing]
-
A.
fairingLength
chosen
Indicates the length of a fairing in the described relationship or context.
-
B.
fairingType
Indicates the specific kind or design category of a fairing used in a structure, vehicle, or assembly.
-
C.
fairingHeight
Indicates the vertical dimension or distance from base to top of a fairing structure.
-
D.
fairingDiameter
Indicates the diameter measurement of a payload fairing used to enclose or protect an object.
-
E.
fairingManufacturer
Indicates that one entity is the manufacturer or producer of the fairing used by another entity (such as a vehicle, rocket, or component).
- 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_69f76dd8b6948190aaa32b081816bd94 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69f78ce78b508190955848e133398dc8 |
completed | May 3, 2026, 5:59 p.m. |
| PD | Predicate disambiguation | batch_69f78b8f4cc08190b49fccd798cb25d7 |
completed | May 3, 2026, 5:53 p.m. |
Created at: May 3, 2026, 4:01 p.m.