Triple
T1342750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyperion |
E28501
|
entity |
| Predicate | closestApproachByCassini_km |
P25184
|
FINISHED |
| Object | ~500 |
—
|
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: ~500 | Statement: [Hyperion, closestApproachByCassini_km, ~500]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestApproachByCassini_km Context triple: [Hyperion, closestApproachByCassini_km, ~500]
-
A.
closestApproachToSaturnDistance
chosen
Indicates the minimum distance an object comes to Saturn at its point of closest approach.
-
B.
closestApproachToSaturnDate
Indicates the date on which an object reaches its minimum distance from Saturn during its trajectory or observation period.
-
C.
closestApproachDistanceToJupiter
Indicates the minimum distance an object comes to Jupiter during its trajectory or orbit.
-
D.
closestApproachTarget
Indicates the entity that another entity comes nearest to during its path or motion.
-
E.
closestApproachToMoon
Indicates the point or distance at which an object comes nearest to the Moon along its trajectory or orbit.
- 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_69a49854eb3481908c7d56b2e449a290 |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c2174d048190a6e9380df302265f |
completed | March 1, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69a4bef3e8fc8190ac9a1ba9b5879483 |
completed | March 1, 2026, 10:34 p.m. |
Created at: March 1, 2026, 7:56 p.m.