Triple
T3219489
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Genoese colonies in Crimea |
E67475
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Caffa |
E67474
|
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: Caffa | Statement: [Genoese colonies in Crimea, hasPart, Caffa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caffa Context triple: [Genoese colonies in Crimea, hasPart, Caffa]
-
A.
Caffa
chosen
Caffa is the historical name of the Crimean port city now known as Feodosia, which was a major Genoese trading colony and a key Black Sea commercial hub in the Middle Ages.
-
B.
Sidamo
Sidamo is a Cushitic language spoken primarily in southern Ethiopia by the Sidama people.
-
C.
Arabica
Arabica is a high-quality coffee species prized for its smooth, aromatic flavor and widely used in premium coffee varieties worldwide.
-
D.
Berbera
Berbera is a major port city on the Gulf of Aden in Somaliland, serving as a key maritime hub for trade in the Horn of Africa.
-
E.
Cappachino
Cappachino is an alias of Cappadonna, an American rapper best known for his longtime affiliation with the Wu-Tang Clan.
- 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_69ad858b8adc8190ad989712c87a476b |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adab0ef2c88190ab89e3217438a2bf |
completed | March 8, 2026, 4:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b26245dfb08190a051ec6d2dbc63c6 |
completed | March 12, 2026, 6:50 a.m. |
Created at: March 8, 2026, 3:08 p.m.