Triple
T1785766
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elle |
E39387
|
entity |
| Predicate | hasEdition |
P35
|
FINISHED |
| Object | Elle Greece |
E865
|
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: Elle Greece | Statement: [Elle, hasEdition, Elle Greece]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elle Greece Context triple: [Elle, hasEdition, Elle Greece]
-
A.
Hellen
Hellen is a figure in Greek mythology regarded as the legendary ancestor and eponymous founder of the Hellenes (Greeks).
-
B.
Greece, New York
Greece, New York is a suburban town in Monroe County, near Rochester, known for its residential communities and commercial corridors along Lake Ontario.
-
C.
Evia
Evia is the modern Greek name for Euboea, the second-largest Greek island, located off the eastern coast of mainland Greece.
-
D.
Greece
chosen
Greece is a southeastern European country known as the cradle of Western civilization, famed for its ancient history, philosophy, democracy, and influential cultural heritage.
-
E.
Larissa
Larissa is a major city in central Greece known as an important agricultural, commercial, and transportation hub of the Thessaly region.
- 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_69a88630519c8190a17addd83c4a3ef4 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa650d304481908ad9bff3eadf7da6 |
completed | March 6, 2026, 5:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9a476448190b072361fe4b41537 |
completed | March 8, 2026, 4:53 p.m. |
Created at: March 4, 2026, 7:31 p.m.