Triple
T12354530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Στρυμόνας |
E294576
|
entity |
| Predicate | έχειΕναλλακτικήΟνομασία |
P48076
|
FINISHED |
| Object | Struma |
E60823
|
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: Struma | Statement: [Στρυμόνας, έχειΕναλλακτικήΟνομασία, Struma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Struma Context triple: [Στρυμόνας, έχειΕναλλακτικήΟνομασία, Struma]
-
A.
Struma
chosen
The Struma is a significant river in the Balkans that flows from western Bulgaria into Greece, ultimately emptying into the Aegean Sea.
-
B.
Struma
Struma was a Romanian ship whose tragic 1942 sinking in the Black Sea, while carrying Jewish refugees trying to reach Palestine, became a symbol of the desperate and often doomed attempts to escape the Holocaust.
-
C.
Pankouri
Pankouri is a notable literary work by the acclaimed Bangladeshi poet Al Mahmud.
-
D.
Kato Nevrokopi
Kato Nevrokopi is a town in northern Greece known for its harsh winters and record-low temperatures, often considered one of the coldest inhabited places in the country.
-
E.
Tiosa
Tiosa is a town in the Amravati district of Maharashtra, India, known for its role as a local commercial and administrative center.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab2dc30819082b12fa35f585762 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.