Triple
T33900005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | α Aquarii |
E869019
|
entity |
| Predicate | hasLowSurfaceGravity |
P197883
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [α Aquarii, hasLowSurfaceGravity, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasLowSurfaceGravity Context triple: [α Aquarii, hasLowSurfaceGravity, true]
-
A.
hasTypicalSurfaceGravity
Indicates that an entity possesses a surface gravity value that falls within the normal or expected range for its class or category.
-
B.
meanSurfaceGravity_m_per_s2
Indicates the average gravitational acceleration experienced at the surface of an object, measured in meters per second squared.
-
C.
usesAtmosphereOf
Indicates that one entity makes use of or operates within the atmospheric conditions or composition associated with another entity.
-
D.
hasArtificialGravity
Indicates that an environment, structure, or vehicle possesses a system that generates gravity-like forces for its occupants.
-
E.
hasExtendedAtmosphere
Indicates that an entity possesses an atmosphere that extends unusually far from its surface or primary body, beyond what is considered typical or compact.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69feb5e66224819083b87c3707a5a5e0 |
completed | May 9, 2026, 4:19 a.m. |
| PD | Predicate disambiguation | batch_69feb3bd700c8190991ed200cd3c04db |
completed | May 9, 2026, 4:10 a.m. |
| PDg | Predicate description generation | batch_69feb5e50a7481908d6bff55bd85e06d |
completed | May 9, 2026, 4:19 a.m. |
Created at: May 1, 2026, 1:48 a.m.