Triple
T4379402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yenakiieve |
E99090
|
entity |
| Predicate | hasRailwayConnection |
P13914
|
FINISHED |
| Object | Donetsk railway network |
E110135
|
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: Donetsk railway network | Statement: [Yenakiieve, hasRailwayConnection, Donetsk railway network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Donetsk railway network Context triple: [Yenakiieve, hasRailwayConnection, Donetsk railway network]
-
A.
Crimean Railway network
The Crimean Railway network is the regional rail system serving the Crimean Peninsula, connecting its major cities, ports, and transport hubs.
-
B.
Donetsk
chosen
Donetsk is a major industrial city in eastern Ukraine, historically known for its coal mining and steel production.
-
C.
Kharkiv Metro
Kharkiv Metro is the rapid transit system serving the city of Kharkiv, Ukraine, providing urban rail transportation across multiple underground lines and stations.
-
D.
Simferopol–Sevastopol line
The Simferopol–Sevastopol line is a key railway route in Crimea connecting the regional capital Simferopol with the port city of Sevastopol.
-
E.
Dniprodzerzhynsk
Dniprodzerzhynsk (now officially called Kamianske) is an industrial city in central Ukraine known for its heavy industry and metallurgical enterprises along the Dnieper River.
- 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_69b3454ea8f48190a49c2436624d6ef6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3524154dc81908532cdf997dcb802 |
completed | March 12, 2026, 11:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e51c87908190a561513ec64a2d72 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:18 p.m.