Triple
T29971757
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gemini 9 |
E761335
|
entity |
| Predicate | performedRendezvousWith |
P53268
|
FINISHED |
| Object | Augmented Target Docking Adapter (ATDA) |
—
|
NE NERFINISHED |
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: Augmented Target Docking Adapter (ATDA) | Statement: [Gemini 9, performedRendezvousWith, Augmented Target Docking Adapter (ATDA)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: performedRendezvousWith Context triple: [Gemini 9, performedRendezvousWith, Augmented Target Docking Adapter (ATDA)]
-
A.
rendezvousWith
chosen
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.
performedWith
Indicates that an action or activity is carried out using, accompanied by, or in conjunction with a specified entity or instrument.
-
E.
rendezvousType
Indicates the specific kind or category of meeting or rendezvous that occurs between entities.
- 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_69fd3d46d1f48190a1b20dd063224b7d |
completed | May 8, 2026, 1:32 a.m. |
| PD | Predicate disambiguation | batch_69fd3ae1510c81908fe1280efc17feee |
completed | May 8, 2026, 1:22 a.m. |
Created at: April 29, 2026, 6:32 p.m.