Triple
T15880778
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DART spacecraft |
E385068
|
entity |
| Predicate | spacecraftMassAtImpact |
P53671
|
FINISHED |
| Object | approximately 570 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 570 kilograms | Statement: [DART spacecraft, spacecraftMassAtImpact, approximately 570 kilograms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spacecraftMassAtImpact Context triple: [DART spacecraft, spacecraftMassAtImpact, approximately 570 kilograms]
-
A.
spacecraftMass
chosen
Indicates the mass value associated with a spacecraft in a given context.
-
B.
missionDurationFromLaunchToImpact
Indicates the total elapsed time between the launch of a mission and the moment of its impact.
-
C.
associatedWithSpacecraftImpact
Indicates that an entity is related to, involved in, or results from the impact of a spacecraft.
-
D.
lunarModuleMass
Indicates the mass or weight associated with a lunar module in the described context.
-
E.
landingModuleMass
Indicates the mass of a landing module involved in a landing operation or configuration.
- 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_69d86da4e86481909f1325fdc971b5ec |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.