Triple
T19831043
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mars orbit |
E476460
|
entity |
| Predicate | hasTypicalInclinations |
P133697
|
FINISHED |
| Object | equatorial orbits around Mars |
—
|
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: equatorial orbits around Mars | Statement: [Mars orbit, hasTypicalInclinations, equatorial orbits around Mars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypicalInclinations Context triple: [Mars orbit, hasTypicalInclinations, equatorial orbits around Mars]
-
A.
inclinationClass
Indicates a categorization of something based on the type or degree of its inclination or tilt.
-
B.
hasIncline
Indicates that one entity possesses or exhibits a slope, tilt, or upward/downward angle relative to another reference.
-
C.
inclinationAngle
Indicates the angle at which one object or reference frame is tilted or inclined relative to another specified baseline or plane.
-
D.
hasTypicalAngle
chosen
Indicates that there is a characteristic or commonly occurring angle associated with the relationship between the entities.
-
E.
typicalPositionsInclude
Indicates that certain positions or roles are commonly or characteristically included within something (such as an organization, structure, or context).
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656ce68b48190aa25b29d0b6ea021 |
completed | April 20, 2026, 4:39 p.m. |
| PD | Predicate disambiguation | batch_69e5305bda388190a23b7191768107b1 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:50 p.m.