Triple
T390530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tropic of Capricorn |
E8869
|
entity |
| Predicate | reasonForLatitude |
P12892
|
FINISHED |
| Object | Earth axial tilt about 23.5° |
—
|
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: Earth axial tilt about 23.5° | Statement: [Tropic of Capricorn, reasonForLatitude, Earth axial tilt about 23.5°]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForLatitude Context triple: [Tropic of Capricorn, reasonForLatitude, Earth axial tilt about 23.5°]
-
A.
coordinateLatitude
Indicates the north–south geographic position of an entity on the Earth’s surface, expressed as a latitude coordinate.
-
B.
coordinateLongitude
Indicates the east–west geographic position of an entity on the Earth’s surface, expressed as a longitude value.
-
C.
reasonWritten
Indicates that one entity is the reason or motivation for which another entity was written or authored.
-
D.
coordinateLocation
Indicates that an entity is located at, or associated with, a specific geographic coordinate or set of coordinates.
-
E.
reasonForRelocation
Indicates the underlying cause, motivation, or circumstance that led an entity to move from one location to another.
- 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_69a2e7f55c60819097aff65ea2ca2832 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec5d73e881909101308a583c8f13 |
completed | Feb. 28, 2026, 1:23 p.m. |
| PD | Predicate disambiguation | batch_69a2e96960608190bdd342da9c5ddb5e |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ebac09408190be802b96bb203d5f |
completed | Feb. 28, 2026, 1:20 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.