Triple
T11509398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mariner 2 |
E272868
|
entity |
| Predicate | solarPanelSpan |
P54107
|
FINISHED |
| Object | about 5.05 meters |
—
|
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: about 5.05 meters | Statement: [Mariner 2, solarPanelSpan, about 5.05 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: solarPanelSpan Context triple: [Mariner 2, solarPanelSpan, about 5.05 meters]
-
A.
solarArraySpan
chosen
Indicates the total distance or width covered by a solar array, typically measured from one outer edge to the opposite outer edge.
-
B.
solarArray
Indicates that one entity functions as a solar array for another, typically providing solar-generated electrical power or energy.
-
C.
numberOfSolarArrays
Indicates the quantity of solar array units associated with or installed on an entity.
-
D.
numberOfPanels
Indicates the total count of distinct panels associated with or contained within a given entity.
-
E.
isSolar
Indicates that something is powered by, related to, or derived from the sun or solar energy.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db65eb081908613a1002c6a4fb4 |
completed | April 10, 2026, 3:25 a.m. |
| PD | Predicate disambiguation | batch_69d80876e5f0819088cff2e72f773cf6 |
completed | April 9, 2026, 8:13 p.m. |
Created at: April 8, 2026, 9:36 p.m.