Triple
T12174663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | VA261 |
E290057
|
entity |
| Predicate | massToGTO |
P103167
|
FINISHED |
| Object | approximately 10,000 kilograms |
—
|
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 10,000 kilograms | Statement: [VA261, massToGTO, approximately 10,000 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: massToGTO Context triple: [VA261, massToGTO, approximately 10,000 kilograms]
-
A.
givesMassTo
Indicates that one entity transfers or assigns a certain amount of mass to another entity.
-
B.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
C.
massContribution
Indicates that an entity contributes some or all of its mass to another entity or system.
-
D.
massAtLiftoff
Indicates the total mass an object or vehicle has at the moment it leaves the ground or launch platform.
-
E.
massToLowEarthOrbit
Indicates the amount of mass that can be transported by a launch system into low Earth orbit.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91621ca6c81908365732f361aef13 |
completed | April 10, 2026, 3:24 p.m. |
| PD | Predicate disambiguation | batch_69d9150e85348190b9b47cda4a17dcd0 |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d916165c708190bf0745e125589f46 |
completed | April 10, 2026, 3:24 p.m. |
Created at: April 8, 2026, 9:50 p.m.