Triple
T32476575
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chinese space program |
E829990
|
entity |
| Predicate | firstLunarLander |
—
|
GENERATED |
| Object | Chang'e 3 |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLunarLander Context triple: [Chinese space program, firstLunarLander, Chang'e 3]
-
A.
firstSuccessfulLander
Indicates that the subject entity is the earliest one to have successfully landed on the specified target or within the given context.
-
B.
plannedFirstLunarLanding
Indicates that an entity is responsible for organizing or scheduling the earliest intended mission to land on the Moon.
-
C.
firstLunarLandingLaunchVehicle
Indicates the launch vehicle used to carry out the first lunar landing mission for a given space program or mission.
-
D.
firstSoftLandingBy
chosen
Indicates that the subject is the first entity to successfully achieve a soft landing on the object.
-
E.
firstLandingAttemptOn
Indicates that an entity makes its initial attempt to land on another entity or location.
- F. None of above.
Provenance (1 batch)
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_69f3491ff3b48190b50a7fa00bb05b1f |
completed | April 30, 2026, 12:20 p.m. |
Created at: May 1, 2026, 12:58 a.m.