Triple
T4155302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellenistic art |
E91400
|
entity |
| Predicate | developedIn |
P283
|
FINISHED |
| Object | Aegean region |
E9845
|
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: Aegean region | Statement: [Hellenistic art, developedIn, Aegean region]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aegean region Context triple: [Hellenistic art, developedIn, Aegean region]
-
A.
Aegean Region
The Aegean Region is a western coastal area of Turkey known for its major port cities, rich ancient history, and scenic Aegean Sea shoreline.
-
B.
South Aegean
South Aegean is an administrative region of Greece encompassing many of the Aegean Sea’s southern islands, including popular tourist destinations such as Rhodes and Mykonos.
-
C.
North Aegean region
The North Aegean region is an administrative region of Greece comprising several northeastern Aegean islands near the Turkish coast.
-
D.
Asia Minor
chosen
Asia Minor is a historical region in western Anatolia, corresponding largely to modern-day Turkey, that served as a crossroads of ancient Greek, Roman, and Near Eastern civilizations.
-
E.
AEGEAN
AEGEAN is the radio callsign used by Aegean Airlines, the largest Greek airline operating domestic and international flights.
- 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_69aed9626ebc8190a39de631788bea3e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af028e3e5c8190bc1d5a9b9dff1d14 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b589e73f1c8190ac1c09201c7844a8 |
completed | March 14, 2026, 4:16 p.m. |
Created at: March 9, 2026, 3:44 p.m.