Triple
T3715257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini 12 |
E81511
|
entity |
| Predicate | rendezvousTechnique |
P32020
|
FINISHED |
| Object | orbital rendezvous with target vehicle |
—
|
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: orbital rendezvous with target vehicle | Statement: [Gemini 12, rendezvousTechnique, orbital rendezvous with target vehicle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousTechnique Context triple: [Gemini 12, rendezvousTechnique, orbital rendezvous with target vehicle]
-
A.
nearbyConnectionViaPassageways
Indicates that two locations are close to each other and are connected specifically through one or more passageways.
-
B.
connectsWithin
Indicates that one entity establishes a connection or link between elements that lie inside the bounds or scope of another entity.
-
C.
swarmDensity
Indicates the concentration or number of individuals within a swarm relative to a given area or volume.
-
D.
meetsNear
Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
-
E.
meetsVia
chosen
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9ce253c8190ada8eaa395fd3d5c |
completed | March 8, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69adc0436e508190909ec4a3e8443aef |
completed | March 8, 2026, 6:30 p.m. |
Created at: March 8, 2026, 3:33 p.m.