Triple
T1449724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Novorossiysk |
E31261
|
entity |
| Predicate | hasPort |
P35
|
FINISHED |
| Object | Port of Novorossiysk |
E31261
|
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: Port of Novorossiysk | Statement: [Novorossiysk, hasPort, Port of Novorossiysk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Novorossiysk Context triple: [Novorossiysk, hasPort, Port of Novorossiysk]
-
A.
Novorossiysk
chosen
Novorossiysk is a major port city on Russia’s Black Sea coast that serves as an important naval and commercial hub.
-
B.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
-
C.
Yalta Sea Port
Yalta Sea Port is a major maritime harbor and transportation hub serving the resort city of Yalta on the southern coast of the Crimean Peninsula.
-
D.
Nakhodka
Nakhodka is a key port city on Russia’s Pacific coast, serving as an important hub for maritime trade and transport in the Russian Far East.
-
E.
Berdyansk
Berdyansk is a port city in southeastern Ukraine on the northern coast of the Sea of Azov, known for its maritime trade, beaches, and resort facilities.
- 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_69a499171a28819085b993a3ac78e363 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c55d923c8190957756f834f94462 |
completed | March 1, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad30877a348190a99dbeaf45cd0335 |
completed | March 8, 2026, 8:17 a.m. |
Created at: March 1, 2026, 8 p.m.