Triple
T29971759
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini 9 |
E761335
|
entity |
| Predicate | rendezvousOutcome |
P51259
|
FINISHED |
| Object | successful rendezvous with ATDA without docking |
—
|
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: successful rendezvous with ATDA without docking | Statement: [Gemini 9, rendezvousOutcome, successful rendezvous with ATDA without docking]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousOutcome Context triple: [Gemini 9, rendezvousOutcome, successful rendezvous with ATDA without docking]
-
A.
rendezvousWith
Indicates that two or more entities meet or come together at an agreed place and time, often for a specific purpose.
-
B.
rendezvousTarget
Indicates that one entity is designated as the meeting or rendezvous point for another entity.
-
C.
rendezvousSystem
Indicates a system or mechanism that coordinates and manages the meeting or docking of two or more entities at a specified place and time.
-
D.
rendezvousType
Indicates the specific kind or category of meeting or rendezvous that occurs between entities.
-
E.
rendezvousAttemptResult
chosen
Indicates the outcome or status of an attempt by entities to meet or rendezvous with each other.
- 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6786ee1608190ad7cf42111f2b7df |
completed | May 2, 2026, 10:19 p.m. |
| PD | Predicate disambiguation | batch_69f673c4abec8190bc2379e66f4af0a9 |
completed | May 2, 2026, 9:59 p.m. |
Created at: April 29, 2026, 6:32 p.m.