Triple
T3408423
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Mithridat |
E71831
|
entity |
| Predicate | viewIncludes |
P17987
|
FINISHED |
| Object | Kerch port |
E11943
|
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: Kerch port | Statement: [Mount Mithridat, viewIncludes, Kerch port]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kerch port Context triple: [Mount Mithridat, viewIncludes, Kerch port]
-
A.
Kerch
chosen
Kerch is a historic port city in eastern Crimea, strategically located on the Kerch Strait linking the Black Sea and the Sea of Azov.
-
B.
Kerch Strait
The Kerch Strait is a narrow waterway connecting the Black Sea and the Sea of Azov, strategically important as a maritime passage between Eastern Europe and the Caucasus.
-
C.
Sevastopolskaya
Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
-
D.
Port of Berdyansk
The Port of Berdyansk is a key commercial seaport on the northern coast of the Sea of Azov, serving as an important maritime gateway for regional trade and industry.
-
E.
Kursk
Kursk is a historic city in western Russia known for the pivotal World War II Battle of Kursk and its role as an important regional industrial and cultural 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_69ad85ac312481909e7027ced1456a9f |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9056acc8190a9c50ec374851ac8 |
completed | March 8, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b360be3b6c81909ee0ac6d4512a56d |
completed | March 13, 2026, 12:56 a.m. |
Created at: March 8, 2026, 3:15 p.m.