Triple
T14160531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Schwarzschild C |
E350924
|
entity |
| Predicate | hasSurfaceEnvironment |
P13810
|
FINISHED |
| Object | airless |
—
|
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: airless | Statement: [Schwarzschild C, hasSurfaceEnvironment, airless]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSurfaceEnvironment Context triple: [Schwarzschild C, hasSurfaceEnvironment, airless]
-
A.
hasSurfaceConnection
Indicates that two entities are directly connected or in contact at their surfaces, allowing interaction or continuity between them.
-
B.
hasSurfaceActivity
Indicates that an entity exhibits measurable physical or chemical activity occurring at or on its surface.
-
C.
hasPrimarySurface
Indicates that one entity serves as the main or principal surface associated with another entity.
-
D.
hasSurfaceBody
Indicates that one entity possesses or is characterized by a particular surface or outer body.
-
E.
hasEnvironmentType
chosen
Indicates that an entity is associated with or occurs within a specific type or category of environment.
- 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_69d8278775fc8190b0802d22ca2f495d |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61393f308190bb357e2bd1916f94 |
completed | April 14, 2026, 3:46 p.m. |
| PD | Predicate disambiguation | batch_69de05b8434c81908c33b1b513463b12 |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:59 a.m.