Triple
T3864798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HTV spacecraft |
E91825
|
entity |
| Predicate | rendezvousProfile |
P51546
|
FINISHED |
| Object | proximity operations then capture by robotic arm |
—
|
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: proximity operations then capture by robotic arm | Statement: [HTV spacecraft, rendezvousProfile, proximity operations then capture by robotic arm]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rendezvousProfile Context triple: [HTV spacecraft, rendezvousProfile, proximity operations then capture by robotic arm]
-
A.
rendezvousAttemptResult
Indicates the outcome or status of an attempt by entities to meet or rendezvous with each other.
-
B.
meetsVia
Indicates that two entities come into contact or interact with each other through a specified intermediary medium, channel, or mechanism.
-
C.
meetingPlaceOf
Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
-
D.
meetsAs
Indicates that two entities encounter or come together at the same place and time, typically in a planned or recognized interaction.
-
E.
meetsNear
Indicates that two entities meet or come together at a location that is in close proximity to a specified reference point or area.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3a253c81909df7dc0422ff7989 |
completed | March 9, 2026, 3:50 p.m. |
| PD | Predicate disambiguation | batch_69aee754dddc8190936e1f9c40a770db |
completed | March 9, 2026, 3:29 p.m. |
| PDg | Predicate description generation | batch_69aee80858a481909961a33fb50ff8d1 |
completed | March 9, 2026, 3:32 p.m. |
Created at: March 9, 2026, 3:19 p.m.