Triple
T2234962
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ligeia Mare |
E49257
|
entity |
| Predicate | surfaceGravityContext |
P2024
|
FINISHED |
| Object | low gravity environment of Titan |
—
|
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: low gravity environment of Titan | Statement: [Ligeia Mare, surfaceGravityContext, low gravity environment of Titan]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surfaceGravityContext Context triple: [Ligeia Mare, surfaceGravityContext, low gravity environment of Titan]
-
A.
hasSurfaceGravity
chosen
Indicates that one entity possesses a specific gravitational acceleration at its surface, typically measured as the strength of gravity experienced at or near that surface.
-
B.
surfaceAccess
Indicates that one entity provides a means for another entity to reach, enter, or interact with a surface or outer layer.
-
C.
surfaceType
Indicates the kind or classification of surface associated with an entity or interaction.
-
D.
surfaceState
Indicates the physical condition or status of a surface, such as its texture, cleanliness, damage, or treatment at a given time.
-
E.
surfacePressure
Indicates the pressure exerted by a fluid (such as air or water) on the surface of an object or body.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc09297a481909e8fe6ec645de616 |
completed | March 7, 2026, 6:07 a.m. |
| PD | Predicate disambiguation | batch_69abbdafc07881909101266a33ae7031 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:47 p.m.