Triple
T10860917
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolomenskaya |
E256399
|
entity |
| Predicate | hasRussianName |
P20560
|
FINISHED |
| Object | Коломенская |
E256399
|
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: Коломенская | Statement: [Kolomenskaya, hasRussianName, Коломенская]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Коломенская Context triple: [Kolomenskaya, hasRussianName, Коломенская]
-
A.
Kolomenskaya
chosen
Kolomenskaya is a Moscow Metro station on the Zamoskvoretskaya Line, serving the Kolomenskoye area in the southern part of the city.
-
B.
Sergiyev Posad
Sergiyev Posad is a historic Russian town best known as a major center of Orthodox Christianity and home to the UNESCO-listed Trinity Lavra of St. Sergius monastery.
-
C.
Krylatskoye
Krylatskoye is a Moscow Metro station serving the Krylatskoye District in western Moscow, Russia.
-
D.
Kolomna
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
E.
Kitay-gorod
Kitay-gorod is a historic central district of Moscow known for its medieval walls, important government and commercial buildings, and proximity to Red Square and the Kremlin.
- 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_69d6aa83d1448190a66d93c32394d21f |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7515186f08190a5cc388a7d936c4f |
completed | April 9, 2026, 7:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e154c05bf081909d1892c6c81a5f2c |
completed | April 16, 2026, 9:29 p.m. |
Created at: April 8, 2026, 9:20 p.m.