Triple
T13528811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Progress-M1 |
E323079
|
entity |
| Predicate | hasAutomatedRendezvousSystem |
P110703
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Progress-M1, hasAutomatedRendezvousSystem, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAutomatedRendezvousSystem Context triple: [Progress-M1, hasAutomatedRendezvousSystem, true]
-
A.
hasOnboardSystems
Indicates that an entity is equipped with or contains specific onboard systems or subsystems.
-
B.
hasShuttlecraft
Indicates that an entity possesses, controls, or is equipped with one or more shuttlecraft.
-
C.
hasShuttleBay
Indicates that an entity possesses or is equipped with a shuttle bay as part of its structure or facilities.
-
D.
hasLiftOrLaunchSystem
Indicates that an entity is equipped with, or associated with, a system used to lift, launch, or otherwise deploy another object or vehicle.
-
E.
hasArtificialCrewmember
Indicates that an entity includes at least one crew member that is artificial (e.g., a robot or AI) rather than biological.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafba2c308190873efd15dfe26358 |
completed | April 12, 2026, 2:44 p.m. |
| PD | Predicate disambiguation | batch_69dbae1046c48190b4ee98c6c9cb9d85 |
completed | April 12, 2026, 2:37 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:44 p.m.