Triple
T26803034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rendez-Vous |
E671149
|
entity |
| Predicate | trackIntendedForPerformanceInSpace |
P140424
|
FINISHED |
| Object | Rendez-Vous VI |
—
|
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: Rendez-Vous VI | Statement: [Rendez-Vous, trackIntendedForPerformanceInSpace, Rendez-Vous VI]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: trackIntendedForPerformanceInSpace Context triple: [Rendez-Vous, trackIntendedForPerformanceInSpace, Rendez-Vous VI]
-
A.
usedBySpaceMission
Indicates that an object, technology, or resource is employed or utilized in the context of a specific space mission.
-
B.
coordinatesSpaceProgramsFor
Indicates that one entity organizes, manages, or aligns the space program activities or initiatives of another entity.
-
C.
spaceSegment
Indicates that one entity is a space-based component or portion of a larger system or infrastructure associated with the other entity.
-
D.
associatedWithSpacecraft
chosen
Indicates a relationship in which an entity is connected or related in some way to a particular spacecraft, such as by operation, design, mission, or support role.
-
E.
namedForSpacecraft
Indicates that one entity is named after, or in honor of, a specific spacecraft.
- 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_69eeb31fbd888190a82dac5822e453bc |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f62d53ad58819080c5227c7a729d15 |
completed | May 2, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69f62c15952881908a5ea0c25904afec |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 4:24 a.m.