Triple
T35038490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atlas V 400 series |
E1010995
|
entity |
| Predicate | usesPayloadFairingDiameter |
P7211
|
FINISHED |
| Object | 4 meters |
—
|
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: 4 meters | Statement: [Atlas V 400 series, usesPayloadFairingDiameter, 4 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesPayloadFairingDiameter Context triple: [Atlas V 400 series, usesPayloadFairingDiameter, 4 meters]
-
A.
payloadFairingDiameter
Indicates the diameter measurement of the payload fairing used to enclose and protect a payload.
-
B.
fairingDiameter
chosen
Indicates the diameter measurement of a payload fairing used to enclose or protect an object.
-
C.
fairingDiameterClass
Indicates the classification of an object based on the size range of its fairing diameter.
-
D.
cargoBayDiameter
Indicates the diameter measurement of a cargo bay in the described context.
-
E.
driverDiameter
Indicates the size of the circular cross-section of a driver component, typically measured as the distance across its widest point.
- 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_69f76dcea02c81908542a223f6d5059f |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcda3699948190adb57625bae08091 |
completed | May 7, 2026, 6:30 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fd16d08190b0aca6e19a632e99 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:01 p.m.