Triple
T2223447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bolshaya Koltsevaya Line |
E48192
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | Lefortovo |
E218144
|
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: Lefortovo | Statement: [Bolshaya Koltsevaya Line, hasStation, Lefortovo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lefortovo Context triple: [Bolshaya Koltsevaya Line, hasStation, Lefortovo]
-
A.
Lefortovo
chosen
Lefortovo is a Moscow Metro station on the Big Circle Line serving the historic Lefortovo district of Russia’s capital.
-
B.
Perovo
Perovo is a Moscow Metro station serving the Kalininsko–Solntsevskaya Line in the Perovo District of eastern Moscow.
-
C.
Karlov
Karlov is a historic university campus complex in Prague that houses several faculties of Charles University, particularly in the medical and natural sciences.
-
D.
Metelkova City
Metelkova City is an autonomous cultural and social center in Ljubljana, Slovenia, known for its alternative art scene, vibrant nightlife, and politically engaged community.
-
E.
Lübars
Lübars is a historic, village-like district in Berlin’s Reinickendorf borough, known for its rural character, fields, and preserved traditional architecture within the city.
- 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_69a88aa1ee708190862c8c378c41e9eb |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc03d1df88190950c691a4c246bd1 |
completed | March 7, 2026, 6:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6562c9448190b53c068c900bf0bf |
completed | March 9, 2026, 6:14 a.m. |
Created at: March 4, 2026, 7:47 p.m.