Triple
T4427654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars 2020 |
E95246
|
entity |
| Predicate | helicopterMass |
P55936
|
FINISHED |
| Object | Approximately 1.8 kg for Ingenuity |
—
|
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: Approximately 1.8 kg for Ingenuity | Statement: [Mars 2020, helicopterMass, Approximately 1.8 kg for Ingenuity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: helicopterMass Context triple: [Mars 2020, helicopterMass, Approximately 1.8 kg for Ingenuity]
-
A.
isHelicopterOf
Indicates that one entity is a helicopter that belongs to, is operated by, or is otherwise associated with another entity.
-
B.
tailRotorConfiguration
Indicates the specific arrangement or design setup of a vehicle’s tail rotor relative to its main structure or propulsion system.
-
C.
canOperateHelicopterType
Indicates that one entity has the ability, qualification, or authorization to operate or pilot a specified type of helicopter.
-
D.
hasHelicopterTrainingRole
Indicates that an entity holds a role or position specifically related to the training or instruction of helicopter operations.
-
E.
hasHeliport
Indicates that an entity possesses or is equipped with a heliport facility for helicopter landing and takeoff.
- 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_69b3453c2a0c8190926b574c90766db9 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b355674d5481908bf2dfd611f3520f |
completed | March 13, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69b34f5eabe88190a12b244ea71e46d6 |
completed | March 12, 2026, 11:42 p.m. |
| PDg | Predicate description generation | batch_69b3505a87b4819083fbbd58870e520b |
completed | March 12, 2026, 11:46 p.m. |
Created at: March 12, 2026, 11:30 p.m.