Triple
T32395830
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Station 8 |
E827803
|
entity |
| Predicate | exploredByVehicle |
P172985
|
FINISHED |
| Object | Lunar Roving Vehicle |
—
|
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: Lunar Roving Vehicle | Statement: [Station 8, exploredByVehicle, Lunar Roving Vehicle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: exploredByVehicle Context triple: [Station 8, exploredByVehicle, Lunar Roving Vehicle]
-
A.
explorationBy
Indicates a relationship where one entity conducts or performs exploration directed at or involving another entity.
-
B.
visitingVehicle
chosen
Indicates a relationship where a vehicle temporarily arrives at or is present at a location that is not its usual or home base.
-
C.
travelsInVehicle
Indicates that an entity is moving from one place to another while being transported inside or on a vehicle.
-
D.
hasScenicAccessTo
Indicates that one place or object provides a visually appealing or notable view of another place or object.
-
E.
livesInVehicle
Indicates that an entity resides or habitually stays within a vehicle as its primary place of living or presence.
- 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_69f349184e7481909c6c54428cb9cf12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6cd126fcc8190aa1f1f146e45ec0c |
completed | May 3, 2026, 4:20 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1470808190b70cdfd7a6395670 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 12:52 a.m.