Triple
T20479225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Verona Rupes |
E502405
|
entity |
| Predicate | freeFallTimeFromTop |
P140257
|
FINISHED |
| Object | several minutes due to Miranda’s low gravity (order of 10 minutes) |
—
|
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: several minutes due to Miranda’s low gravity (order of 10 minutes) | Statement: [Verona Rupes, freeFallTimeFromTop, several minutes due to Miranda’s low gravity (order of 10 minutes)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: freeFallTimeFromTop Context triple: [Verona Rupes, freeFallTimeFromTop, several minutes due to Miranda’s low gravity (order of 10 minutes)]
-
A.
distanceFallen
Indicates the amount of vertical distance an object has moved downward from its starting point due to falling.
-
B.
verticalDrop_ft
Indicates the vertical distance, measured in feet, that one entity drops or falls relative to another reference level.
-
C.
fallsFrom
Indicates that one entity moves downward or drops starting from the location or position of another entity.
-
D.
fallType
Indicates the specific kind or category of fall that occurred in a falling event.
-
E.
fallLocation
Indicates the place or area where an entity falls or ends up after falling.
- 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_69e0b4af32848190aea80682b44d5d6e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69b54c8188190a71e35fab8d194a6 |
completed | April 20, 2026, 9:32 p.m. |
| PD | Predicate disambiguation | batch_69e5768372988190b08ef8ae67d42ab6 |
completed | April 20, 2026, 12:42 a.m. |
| PDg | Predicate description generation | batch_69e58d766b408190a1d3698145fb6d30 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:34 a.m.