Triple
T18729134
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Siege of Ravenna (1512) |
E457984
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Romagna |
—
|
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: Romagna | Statement: [Siege of Ravenna (1512), hasLocation, Romagna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Romagna Context triple: [Siege of Ravenna (1512), hasLocation, Romagna]
-
A.
Emilia-Romagna
chosen
Emilia-Romagna is a region in northern Italy known for its rich culinary traditions, historic cities, and strong industrial and agricultural economy.
-
B.
La Marche
La Marche is a historic province in central France known for its rural landscapes and role as a frontier region between major medieval territories.
-
C.
Umbria
Umbria is a central Italian region known for its historic hill towns, medieval architecture, and rich cultural heritage.
-
D.
Veneto
Veneto is a region in northeastern Italy known for its historic cities like Venice and Verona, rich cultural heritage, and diverse landscapes ranging from the Adriatic coast to the Dolomite mountains.
-
E.
Venetia
Venetia is a novel by Benjamin Disraeli, published in 1837, that blends romance and political themes in a fictionalized portrayal of figures resembling Lord Byron and Percy Bysshe Shelley.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d7660488190b4f70db963d05ef6 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.