Triple
T16561353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Greek world |
E402345
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Rhegion |
E51793
|
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: Rhegion | Statement: [Western Greek world, hasPart, Rhegion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rhegion Context triple: [Western Greek world, hasPart, Rhegion]
-
A.
Rhegion
chosen
Rhegion was an important ancient Greek city located at the southern tip of Italy, strategically positioned on the Strait of Messina.
-
B.
Landes
Landes is a department in southwestern France known for its vast Atlantic coastline, extensive pine forests, and popular surfing beaches.
-
C.
Altmark region
The Altmark region is a historic rural area in northern Germany known as one of the cradles of Brandenburg and Prussian history.
-
D.
Biltine Region
Biltine Region was a former administrative region in eastern Chad that was later reorganized and renamed Wadi Fira.
-
E.
Regio
Regio is a regional train service brand in Switzerland operated by the Swiss Federal Railways (SBB/CFF/FFS), providing local and stopping services between towns and cities.
- 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_69d8838648088190acf97ef11fc3f61b |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3576d88288190b33543bea4706a36 |
completed | April 18, 2026, 10:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0067be809c81909c93eb1253fbf8e5 |
completed | May 10, 2026, 11:10 a.m. |
Created at: April 10, 2026, 5:15 a.m.