Triple
T6287058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Galactic thin disk |
E140925
|
entity |
| Predicate | hasSurfaceDensity |
P69900
|
FINISHED |
| Object | higher than thick disk near the Sun |
—
|
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: higher than thick disk near the Sun | Statement: [Galactic thin disk, hasSurfaceDensity, higher than thick disk near the Sun]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceDensity Context triple: [Galactic thin disk, hasSurfaceDensity, higher than thick disk near the Sun]
-
A.
hasMeanDensity
Indicates that one entity possesses a specified average mass per unit volume (mean density).
-
B.
hasSurfaceAccuracy
Indicates that one entity possesses a specified degree or measure of accuracy related to its surface characteristics or representation.
-
C.
hasSurfaceQuality
Indicates that one entity possesses a particular characteristic or condition of its surface.
-
D.
hasSurfaceGravity
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.
-
E.
hasSurfaceSections
Indicates that an entity is composed of or divided into distinct sections or parts of its surface.
- 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_69c008cd17c8819082b82d3fbeb68047 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c063ff9f74819088dc603f56fc930c |
completed | March 22, 2026, 9:49 p.m. |
| PD | Predicate disambiguation | batch_69c0560a0270819098ad2785b91e8f39 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c05b37ac1881909e947822490ba4f2 |
completed | March 22, 2026, 9:12 p.m. |
Created at: March 22, 2026, 4:26 p.m.