Triple

T16412368
Position Surface form Disambiguated ID Type / Status
Subject Russian battleship Petropavlovsk E398597 entity
Predicate theaterOfOperations P710 FINISHED
Object Port Arthur E298645 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: Port Arthur | Statement: [Russian battleship Petropavlovsk, theaterOfOperations, Port Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Arthur
Context triple: [Russian battleship Petropavlovsk, theaterOfOperations, Port Arthur]
  • A. Port Arthur
    Port Arthur is an industrial city in southeast Texas known for its major oil refineries and petrochemical facilities along the Gulf Coast.
  • B. Port Arthur chosen
    Port Arthur is a strategically important ice-free naval port and former fortress city in northeastern China, historically contested by major powers such as Russia and Japan.
  • C. Port Arthur
    Port Arthur is a historic former penal settlement and popular heritage tourism site on Tasmania’s Tasman Peninsula in Australia.
  • D. Portsea
    Portsea is an affluent coastal resort town on Victoria’s Mornington Peninsula, known for its beaches, holiday homes, and proximity to Port Phillip Heads.
  • E. Portsea
    Portsea is a district of the city of Portsmouth on the south coast of England, historically known for its naval connections and dense urban development.
  • 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_69d87f2950248190bc8ad9b9bebdc8c8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e32874a0cc8190874aea10b1d13004 completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00457d9f4081908a5f28eeafc44695 completed May 10, 2026, 8:44 a.m.
Created at: April 10, 2026, 5:09 a.m.