Triple
T32282456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station 6 |
E824736
|
entity |
| Predicate | sampleCollection |
P127405
|
FINISHED |
| Object | lunar rock samples |
—
|
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 rock samples | Statement: [Station 6, sampleCollection, lunar rock samples]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleCollection Context triple: [Station 6, sampleCollection, lunar rock samples]
-
A.
sampleCollectionMedium
Indicates the physical medium, material, or device used to collect or hold a sample during the sampling process.
-
B.
sampleCollected
chosen
Indicates that a sample has been obtained or gathered from a source as part of a collection process.
-
C.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
D.
collectionFormed
Indicates that multiple items or entities have been gathered and organized together into a defined collection.
-
E.
samplesWork
Indicates that one entity takes or obtains a sample of another entity’s work for examination, testing, or evaluation.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bccc5be081908b121f4035b42dd9 |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6ba6cef208190bc5cd43d96127004 |
completed | May 3, 2026, 3:01 a.m. |
Created at: May 1, 2026, 12:43 a.m.