Triple

T11038457
Position Surface form Disambiguated ID Type / Status
Subject Baltic Fleet (Russian Empire) E260945 entity
Predicate headquartersLocation P62 FINISHED
Object Kronstadt 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 | Statement: [Baltic Fleet (Russian Empire), headquartersLocation, Kronstadt]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kronstadt
Context triple: [Baltic Fleet (Russian Empire), headquartersLocation, Kronstadt]
  • 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. 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.
  • C. Sestroretsk
    Sestroretsk is a town in northwestern Russia, now part of Saint Petersburg, historically known for its arms factory and seaside resort area on the Gulf of Finland.
  • D. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • E. Suvorovo
    Suvorovo is a small town in northeastern Bulgaria that serves as an administrative and local economic center within Varna Province.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797fe93b081909d58bfd4b42715f0 completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c846d9f08190943d457ff6da6a9f completed April 18, 2026, 6:07 p.m.
Created at: April 8, 2026, 9:26 p.m.