Triple
T10609439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Latin Aegidius |
E275966
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Egide |
E874281
|
NE 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: Egide | Statement: [Latin Aegidius, hasVariant, Egide]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Egide Context triple: [Latin Aegidius, hasVariant, Egide]
-
A.
Egide
chosen
Egide is a given name and surname of Latin origin, derived from Aegidius, historically associated with Saint Giles and meaning “young goat” or “kid.”
-
B.
Rumuola
Rumuola is a prominent urban neighborhood and transport hub in Port Harcourt, Rivers State, Nigeria.
-
C.
Silago
Silago is a coastal municipality in the province of Southern Leyte in the Philippines known for its beaches and natural attractions.
-
D.
Hoschedé
Hoschedé is a French surname notably associated with the family closely linked to Impressionist painter Claude Monet.
-
E.
Segusio
Segusio was an ancient Roman town in the Alps, strategically located on key transalpine routes in what is now Susa, Italy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6df4d0a6881909fea20378085173d |
completed | April 8, 2026, 11:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d96b716a088190b84982f1a8173e0a |
completed | April 10, 2026, 9:28 p.m. |
Created at: April 8, 2026, 7:32 p.m.