Triple
T34674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Equator |
E689
|
entity |
| Predicate | solarPosition |
P2056
|
FINISHED |
| Object | receives nearly direct sunlight throughout the year |
—
|
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: receives nearly direct sunlight throughout the year | Statement: [Equator, solarPosition, receives nearly direct sunlight throughout the year]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarPosition Context triple: [Equator, solarPosition, receives nearly direct sunlight throughout the year]
-
A.
sunRequirement
Indicates the amount or type of sunlight an entity (such as a plant or object) needs or is designed to receive.
-
B.
skyQuality
Indicates the measured level or condition of the sky, typically in terms of clarity, brightness, or suitability for observation.
-
C.
hasPeakUsageInHemisphere
Indicates that the time period of highest usage or activity for something occurs within a specified hemisphere (e.g., Northern or Southern).
-
D.
elevation
Indicates the vertical height or altitude of one entity relative to a reference level or another entity.
-
E.
geographicCenter
Indicates the location that serves as the central point of a geographic area or region.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2490019948190a89bb0910c60d462 |
completed | Feb. 28, 2026, 1:46 a.m. |
| PD | Predicate disambiguation | batch_69a24872e4e481908567850168d65015 |
completed | Feb. 28, 2026, 1:44 a.m. |
| PDg | Predicate description generation | batch_69a248fef2b881908180bd4e32e58cb5 |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.