Triple
T26170086
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stardust |
E654375
|
entity |
| Predicate | closestApproachDistanceToWild2 |
P59619
|
FINISHED |
| Object | about 240 kilometers |
—
|
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: about 240 kilometers | Statement: [Stardust, closestApproachDistanceToWild2, about 240 kilometers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestApproachDistanceToWild2 Context triple: [Stardust, closestApproachDistanceToWild2, about 240 kilometers]
-
A.
closestApproachToWild2Date
Indicates the date on which something reaches its minimum distance or closest approach to the entity or area referred to as "Wild2."
-
B.
closestApproachDistance
chosen
Indicates the minimum distance between two entities at the point where they come closest to each other during their motion or interaction.
-
C.
approximateDistanceToWildlife
Indicates that one entity has an estimated or rough measure of its distance from wildlife.
-
D.
closestApproachTarget
Indicates the entity that another entity comes nearest to during its path or motion.
-
E.
closestApproachDate
Indicates the date on which two entities come nearest to each other in space or position.
- 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_69ee5b44391c81908bdbd8813ba9aa99 |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f63fd6c68481908c542aa03e297b9c |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6456608190b94e7c2e2c2a4824 |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 26, 2026, 8:34 p.m.