Triple
T3547571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ingria |
E75032
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object | Kronstadt area |
E42812
|
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: Kronstadt area | Statement: [Ingria, containsCity, Kronstadt area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kronstadt area Context triple: [Ingria, containsCity, Kronstadt area]
-
A.
Kronstadt
chosen
Kronstadt is a historic Russian naval port and fortress city located on Kotlin Island near Saint Petersburg, long serving as a key base for the Russian Baltic Fleet.
-
B.
Volkhov
Volkhov is a town in Leningrad Oblast, Russia, situated along the Volkhov River and known for its hydroelectric power station and industrial significance.
-
C.
Severomorsk
Severomorsk is a closed naval town in Russia’s Murmansk Oblast that serves as the main base of the Russian (formerly Soviet) Northern Fleet on the Barents Sea.
-
D.
Nevsky District of Saint Petersburg
Nevsky District of Saint Petersburg is a large administrative district in the southeastern part of the city, known for its industrial areas, residential neighborhoods, and location along the Neva River.
-
E.
Sevastopolskaya
Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbfd0eb6081908f1380db4cfade87 |
completed | March 8, 2026, 6:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432fdda488190a31f74e80685c121 |
completed | March 13, 2026, 3:53 p.m. |
Created at: March 8, 2026, 3:20 p.m.