Triple
T19612063
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vega 1 |
E470756
|
entity |
| Predicate | venusLanderMission |
P136465
|
FINISHED |
| Object | in situ study of Venus atmosphere and surface |
—
|
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: in situ study of Venus atmosphere and surface | Statement: [Vega 1, venusLanderMission, in situ study of Venus atmosphere and surface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: venusLanderMission Context triple: [Vega 1, venusLanderMission, in situ study of Venus atmosphere and surface]
-
A.
yearOfVenusLanding
Indicates the specific year in which a landing occurred on the planet Venus.
-
B.
arrivalAtVenus
Indicates the event or state of something reaching or entering Venus as its destination.
-
C.
numberOfPlannedVenusFlybys
Indicates the total count of Venus flyby maneuvers that are scheduled or intended within a mission plan.
-
D.
missionTypeForCassini–Huygens
Indicates the type or category of space mission associated with the Cassini–Huygens spacecraft.
-
E.
arrivalAtVenusDate
Indicates the date on which an entity arrives at Venus.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640cbeda08190addb1adf84af4993 |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.