Triple
T14777238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northern Black Sea Greek colonies |
E347291
|
entity |
| Predicate | hasMajorCenter |
P164
|
FINISHED |
| Object | Tanais |
E585570
|
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: Tanais | Statement: [Northern Black Sea Greek colonies, hasMajorCenter, Tanais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tanais Context triple: [Northern Black Sea Greek colonies, hasMajorCenter, Tanais]
-
A.
Tanais
chosen
Tanais is the ancient name for the Don River, a major waterway in southwestern Russia that flows into the Sea of Azov and historically marked part of the boundary between Europe and Asia.
-
B.
Berland River
The Berland River is a tributary waterway in west-central Alberta, Canada, that flows through forested foothills before joining the Athabasca River.
-
C.
Kuban River
The Kuban River is a major river in the North Caucasus region of Russia that flows through the Krasnodar Krai before emptying into the Sea of Azov.
-
D.
Enisei
Enisei is an alternative name for the Yenisei River, one of the longest and most significant rivers in Siberia that flows into the Arctic Ocean.
-
E.
Kuban
Kuban is a Turkish surname most notably borne by the prominent architectural historian and scholar Doğan Kuban.
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec817c39081909b08a0ffdfce9936 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cff0474819092e8447f2f13cf59 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:31 a.m.