Triple
T4103602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kolomna Kremlin |
E88396
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kolomna |
E119163
|
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: Kolomna | Statement: [Kolomna Kremlin, locatedIn, Kolomna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kolomna Context triple: [Kolomna Kremlin, locatedIn, Kolomna]
-
A.
Kolomna
chosen
Kolomna is a historic Russian city southeast of Moscow, known for its well-preserved kremlin, medieval architecture, and traditional pastila confectionery.
-
B.
Torzhok
Torzhok is a historic town in western Russia known for its medieval architecture, traditional goldwork embroidery, and location on the Tvertsa River.
-
C.
Mozhaisk
Mozhaisk is a historic town in Moscow Oblast, Russia, known for its strategic military importance as a western defensive outpost for Moscow and its notable architectural and cultural heritage.
-
D.
Suzdal
Suzdal is one of Russia’s oldest and best-preserved historic towns, renowned for its medieval churches, monasteries, and traditional wooden architecture.
-
E.
Staraya Russa
Staraya Russa is a historic town in northwestern Russia known for its medieval heritage and mineral spa resorts.
- 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_69aed9484fb881909146f4c772ad277c |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefd116dac8190952cb2ddf63216ec |
completed | March 9, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd42094fec819099d8a8fbeca71bd4 |
completed | March 20, 2026, 12:48 p.m. |
Created at: March 9, 2026, 3:40 p.m.