Triple
T17426568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 162173 Ryugu |
E423752
|
entity |
| Predicate | sampleCollected |
P127405
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [162173 Ryugu, sampleCollected, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sampleCollected Context triple: [162173 Ryugu, sampleCollected, yes]
-
A.
collectedWith
Indicates that one entity was gathered, acquired, or obtained together with another entity as part of the same collection event or process.
-
B.
dataCollectedOn
Indicates that certain data was gathered, recorded, or measured at a specific point in time or on a particular date.
-
C.
sampleType
Indicates the classification or category of a sample in relation to a broader set of samples or experimental conditions.
-
D.
dataTypeCollected
Indicates that a specific type or category of data is gathered or recorded in the context of an entity or process.
-
E.
collectedAtStation
Indicates that something was gathered, received, or picked up at a particular station location.
- F. None of above. chosen
Provenance (4 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e448fcbf54819091babed0b9b05716 |
completed | April 19, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69e3b030eac481909b8402719cc3102e |
completed | April 18, 2026, 4:24 p.m. |
| PDg | Predicate description generation | batch_69e3b2a33e8481908fa6ef45290d08aa |
completed | April 18, 2026, 4:34 p.m. |
Created at: April 10, 2026, 5:46 a.m.