Triple
T19261239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uranometria |
E481653
|
entity |
| Predicate | introducedConstellation |
P107682
|
FINISHED |
| Object | Volans |
—
|
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: Volans | Statement: [Uranometria, introducedConstellation, Volans]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Volans Context triple: [Uranometria, introducedConstellation, Volans]
-
A.
Volans
chosen
Volans is a small southern sky constellation representing a flying fish, located near the Large Magellanic Cloud.
-
B.
Vultan
Vultan is a prominent character from the Flash Gordon universe, known as the boisterous, hawk-winged leader of the Hawkmen on the planet Mongo.
-
C.
Aetos
Aetos is a settlement known for its nearby pilgrimage site, attracting religious visitors and cultural interest.
-
D.
Stormfly
Stormfly is Astrid Hofferson’s loyal Deadly Nadder dragon companion from the How to Train Your Dragon franchise.
-
E.
Falkor
Falkor is the luckdragon from Michael Ende’s fantasy novel "The Neverending Story," known for his benevolent nature, flying abilities, and role as the protagonist’s loyal companion.
- 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_69d8e8ce54cc8190998418ff1f66ef28 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb8a022c8190b313e9d11d38e482 |
completed | April 20, 2026, 10:10 a.m. |
Created at: April 10, 2026, 1:28 p.m.