Triple
T13621777
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luna 24 |
E325473
|
entity |
| Predicate | returnedSampleType |
P67742
|
FINISHED |
| Object | lunar soil |
—
|
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: lunar soil | Statement: [Luna 24, returnedSampleType, lunar soil]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: returnedSampleType Context triple: [Luna 24, returnedSampleType, lunar soil]
-
A.
sampleType
chosen
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
B.
returnedSampleMass
Indicates that a specified amount of mass was brought back or retrieved as a sample from a source or mission.
-
C.
resultType
Indicates the type or category of outcome that is produced by a given process, action, or operation.
-
D.
firstSampleReturnFrom
Indicates that an entity represents the first sample that has been returned from a specified source or location.
-
E.
exampleType
Indicates that one entity serves as a representative or illustrative instance of the type or category defined by another entity.
- 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_69d8076aae28819092cf636190ee5529 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbbb9ee3f081909056dc1a92c40b7a |
completed | April 12, 2026, 3:34 p.m. |
| PD | Predicate disambiguation | batch_69dbae1b3ee481909bd43ded6227a3e5 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:50 p.m.