Triple
T19261235
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uranometria |
E481653
|
entity |
| Predicate | introducedConstellation |
P107682
|
FINISHED |
| Object | Musca |
—
|
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: Musca | Statement: [Uranometria, introducedConstellation, Musca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musca Context triple: [Uranometria, introducedConstellation, Musca]
-
A.
Musca
chosen
Musca is a small southern constellation representing a fly, located near the Southern Cross in the southern sky.
-
B.
Moschiola
Moschiola is a genus of small, spotted chevrotains (mouse-deer) native to South and Southeast Asia.
-
C.
Stinkfly
Stinkfly is an insectoid alien from the Ben 10 franchise known for his ability to fly, shoot slime, and provide agile aerial combat support to Ben Tennyson.
-
D.
المقشقشة
المقشقشة هو أحد الأسماء الواردة في التراث الإسلامي لسورة التوبة في القرآن الكريم، لما فيها من تبرئة وتمييز بين المؤمنين والمنافقين.
-
E.
Moskito
Moskito was the nickname of the German World War II Focke-Wulf Ta 154 twin-engine night fighter, designed as a fast, wooden aircraft intended to counter the British de Havilland Mosquito.
- 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.