Triple
T18594054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Coronae Australis |
E454444
|
entity |
| Predicate | bayerDesignation |
P24821
|
FINISHED |
| Object | Delta CrA |
—
|
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: Delta CrA | Statement: [Delta Coronae Australis, bayerDesignation, Delta CrA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Delta CrA Context triple: [Delta Coronae Australis, bayerDesignation, Delta CrA]
-
A.
CrA
chosen
CrA is the standard astronomical abbreviation for Corona Australis, a small southern constellation whose name means "the Southern Crown."
-
B.
Crada
Crada is a German hip-hop and R&B record producer known for his work with artists such as Kid Cudi and Drake.
-
C.
Crisa
Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
-
D.
Crista
Crista is an American actress and comedian best known for her work on the sketch comedy show MADtv.
-
E.
CRaTER
CRaTER is a scientific instrument aboard NASA’s Lunar Reconnaissance Orbiter designed to measure and characterize the radiation environment in lunar orbit.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b8d76881909db1539c7150befb |
completed | April 19, 2026, 9:14 p.m. |
Created at: April 10, 2026, 11:44 a.m.