Triple
T13729661
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crimean Railway network |
E329761
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Yevpatoria |
E73725
|
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: Yevpatoria | Statement: [Crimean Railway network, connects, Yevpatoria]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevpatoria Context triple: [Crimean Railway network, connects, Yevpatoria]
-
A.
Yevpatoria
chosen
Yevpatoria is a historic resort and port city on the western coast of Crimea, known for its beaches, therapeutic mud treatments, and diverse cultural heritage.
-
B.
Feodosia
Feodosia is a historic port city on the southeastern coast of Crimea, known for its Black Sea beaches, medieval fortifications, and association with painter Ivan Aivazovsky.
-
C.
Sevastopol
Sevastopol is a major port city on the Black Sea, historically significant as a naval base and the site of key military conflicts.
-
D.
Simferopol
Simferopol is the administrative and cultural center of Crimea, known as a key regional hub for transportation, education, and industry.
-
E.
Gelendzhik
Gelendzhik is a Black Sea resort city in southern Russia known for its beaches, scenic bay, and tourism infrastructure.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de01f746cc8190abde237bbb7e6c78 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8cebcd481909ba75eef518b34c7 |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 9:55 p.m.