Triple
T38092568
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rassvet |
E951151
|
entity |
| Predicate | providesDockingPortFor |
P177530
|
FINISHED |
| Object | Soyuz spacecraft |
—
|
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: Soyuz spacecraft | Statement: [Rassvet, providesDockingPortFor, Soyuz spacecraft]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: providesDockingPortFor Context triple: [Rassvet, providesDockingPortFor, Soyuz spacecraft]
-
A.
hasDockingPortType
Indicates that one entity possesses or is equipped with a docking port of a specified type or specification.
-
B.
usedWithDockingPortType
Indicates that one entity is designed or configured to be used together with a specific type of docking port.
-
C.
hasDockingCapability
Indicates that an entity is capable of connecting or docking with another compatible entity or system.
-
D.
hasDockingType
Indicates the specific docking configuration or method associated with an entity.
-
E.
intendedDockingPartner
chosen
Indicates that one entity is designated or expected to connect, interface, or dock with a specific counterpart as its planned partner.
- 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_69f76f04960c8190a83f14ae4c67f5bc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fef5cf8da881908260ec633830375d |
completed | May 9, 2026, 8:52 a.m. |
| PD | Predicate disambiguation | batch_69fef455e40481909861c82007b79bc0 |
completed | May 9, 2026, 8:46 a.m. |
Created at: May 3, 2026, 4:21 p.m.