Triple
T18298501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Known Space |
E438294
|
entity |
| Predicate | hasFictionalLocation |
P21117
|
FINISHED |
| Object | Sol system |
—
|
NE NERFINISHED |
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: Sol system | Statement: [Known Space, hasFictionalLocation, Sol system]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sol system Context triple: [Known Space, hasFictionalLocation, Sol system]
-
A.
Sistema
Sistema is a consumer food storage and kitchenware brand known for its reusable plastic containers and lunch solutions.
-
B.
SOL
SOL is the ICAO airline designator assigned to Solomon Airlines, the national carrier of the Solomon Islands.
-
C.
SOL
SOL is the National Rail station code for Solihull railway station in the West Midlands, England.
-
D.
Sol
chosen
Sol is the Sun, the G-type main-sequence star at the center of our solar system that provides Earth with light and heat.
-
E.
Sol
Sol is a major central square and transport hub in Madrid, Spain, known as one of the city's busiest public spaces and a symbolic heart of the capital.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e5017d96588190ac1e326803142976 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.