Triple
T35682503
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini launch vehicles |
E1031047
|
entity |
| Predicate | supportedProgramGoal |
P39887
|
FINISHED |
| Object | rendezvous and docking techniques |
—
|
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: rendezvous and docking techniques | Statement: [Gemini launch vehicles, supportedProgramGoal, rendezvous and docking techniques]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: supportedProgramGoal Context triple: [Gemini launch vehicles, supportedProgramGoal, rendezvous and docking techniques]
-
A.
hasProgramGoal
Indicates that an entity (such as a program or initiative) is associated with a specific intended goal or objective it aims to achieve.
-
B.
supportGoal
chosen
Indicates that one entity actively helps, promotes, or contributes to the achievement of another entity’s goal.
-
C.
supportProgram
Indicates that one entity provides assistance, resources, or services through an organized program to benefit or aid another entity.
-
D.
supportingProgram
Indicates that one program provides assistance, resources, or backing to another program or initiative.
-
E.
supportsProgramOf
Indicates that one entity provides assistance, resources, or endorsement to help another entity’s program operate or succeed.
- 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_69f76e0bb6608190ad3a1880be54a17d |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a04d8348190a4819666eab42c9b |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:05 p.m.