Triple
T16258366
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MSL |
E394687
|
entity |
| Predicate | firstUseOfTechnology |
P104701
|
FINISHED |
| Object | sky crane landing system on another planet |
—
|
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: sky crane landing system on another planet | Statement: [MSL, firstUseOfTechnology, sky crane landing system on another planet]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstUseOfTechnology Context triple: [MSL, firstUseOfTechnology, sky crane landing system on another planet]
-
A.
firstHistoricalUse
Indicates that the subject entity represents the earliest known or recorded instance of the object entity being used or occurring in history.
-
B.
firstProminentUse
Indicates the earliest notable or widely recognized instance in which something was used in a significant or influential way.
-
C.
firstScientificUse
chosen
Indicates that an entity represents the earliest known scientific use or application of another entity (such as a concept, method, or technology).
-
D.
firstWidelyUsedFor
Indicates that something was the earliest instance to be broadly adopted or commonly used for a particular purpose or application.
-
E.
firstCommercialUse
Indicates the earliest point in time at which something was used commercially or put into commercial operation.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e245c1fa208190995feaeba766b45f |
completed | April 17, 2026, 2:37 p.m. |
| PD | Predicate disambiguation | batch_69e219f259e88190bf49d8408c04178e |
completed | April 17, 2026, 11:30 a.m. |
Created at: April 10, 2026, 5:04 a.m.