Triple
T1342724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hyperion |
E28501
|
entity |
| Predicate | meanDensity_g_per_cm3 |
P2023
|
FINISHED |
| Object | 0.54 |
—
|
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: 0.54 | Statement: [Hyperion, meanDensity_g_per_cm3, 0.54]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meanDensity_g_per_cm3 Context triple: [Hyperion, meanDensity_g_per_cm3, 0.54]
-
A.
hasMeanDensity
chosen
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
B.
massRelativeToEarth
Indicates the comparative amount of mass an entity has relative to the mass of Earth.
-
C.
hasMeanRadius
Indicates that an entity possesses a specified average radius measurement, typically representing the mean distance from its center to its surface.
-
D.
hasApproximateHydrogenNumberDensity
Indicates that an entity is associated with a hydrogen number density value that is approximate rather than exact.
-
E.
hasEquatorialDiameter_km
Indicates the measurement, in kilometers, of an object's diameter across its equator.
- 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.