Triple
T17058080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marinkina Tower |
E413875
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | old town of 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: old town of Kolomna | Statement: [Marinkina Tower, hasView, old town of Kolomna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: old town of Kolomna Context triple: [Marinkina Tower, hasView, old town of 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.
Smolenskaya
Smolenskaya is a Moscow Metro station on the Arbatsko–Pokrovskaya and Filyovskaya lines, located near the historic Arbat district.
-
C.
City of Pskov
The City of Pskov is a historic Russian city near the Estonian border, renowned for its medieval kremlin, ancient churches, and role as a major fortress and trading center in northwestern Russia.
-
D.
Staraya Russa
Staraya Russa is a historic town in northwestern Russia known for its medieval heritage and mineral spa resorts.
-
E.
Suzdal
Suzdal is one of Russia’s oldest and best-preserved historic towns, renowned for its medieval churches, monasteries, and traditional wooden architecture.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7b553c81908ec70ba0d0988710 |
completed | April 18, 2026, 7:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012349b2c88190a5c5e06a5cae1ac5 |
completed | May 11, 2026, 12:31 a.m. |
Created at: April 10, 2026, 5:34 a.m.