Triple
T10022626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini spacecraft |
E200645
|
entity |
| Predicate | rendezvousCapability |
P91755
|
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: [Gemini spacecraft, rendezvousCapability, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousCapability Context triple: [Gemini spacecraft, rendezvousCapability, yes]
-
A.
rendezvousTarget
Indicates that one entity is designated as the meeting or rendezvous point for another entity.
-
B.
rendezvousProfile
Indicates a relationship where entities coordinate to meet at a specific place and time, often under predefined conditions or plans.
-
C.
rendezvousType
Indicates the specific kind or category of meeting or rendezvous that occurs between entities.
-
D.
rendezvousWith
Indicates that two or more entities meet or come together at an agreed place and time, often for a specific purpose.
-
E.
rendezvousAttemptResult
Indicates the outcome or status of an attempt by entities to meet or rendezvous with each other.
- 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_69ca831c45f08190ac1505cc15076608 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd7ae36c8190896946be065fbf78 |
completed | April 2, 2026, 1:59 a.m. |
| PD | Predicate disambiguation | batch_69cd4b7cd4208190b2253583ee2f892c |
completed | April 1, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69cd4f8d9b888190b8067bd916dae773 |
completed | April 1, 2026, 5:02 p.m. |
Created at: March 30, 2026, 8:53 p.m.