Triple
T32682148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Massif |
E835614
|
entity |
| Predicate | yieldedSampleType |
P67742
|
FINISHED |
| Object | lunar breccias |
—
|
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 breccias | Statement: [South Massif, yieldedSampleType, lunar breccias]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yieldedSampleType Context triple: [South Massif, yieldedSampleType, lunar breccias]
-
A.
sampleType
chosen
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
B.
samplingType
Indicates the method or strategy used to select samples from a larger set or population.
-
C.
yieldedTaxon
Indicates that one entity produced, revealed, or resulted in the discovery or identification of a particular taxon.
-
D.
hasYield
Indicates that one entity produces, returns, or generates a measurable output, result, or profit for another entity or context.
-
E.
returnedSampleMass
Indicates that a specified amount of mass was brought back or retrieved as a sample from a source or mission.
- 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6c7e92f38819084db3081ae5de9ec |
completed | May 3, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69f6c3f617c08190a70ba880210f908c |
completed | May 3, 2026, 3:41 a.m. |
Created at: May 1, 2026, 1:09 a.m.