Triple

T14011097
Position Surface form Disambiguated ID Type / Status
Subject Lüshunkou District E337079 entity
Predicate hasHistoricalName P2834 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: [Lüshunkou District, hasHistoricalName, Port Arthur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Port Arthur
Context triple: [Lüshunkou District, hasHistoricalName, Port Arthur]
  • A. 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.
  • B. Port Arthur
    Port Arthur is an industrial city in southeast Texas known for its major oil refineries and petrochemical facilities along the Gulf Coast.
  • 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 a district of the city of Portsmouth on the south coast of England, historically known for its naval connections and dense urban development.
  • E. 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.
  • 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_69d81c645c5c8190b1fd16a285a1b78a completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2ed5cfd0819085b9c860b119a9de completed April 14, 2026, 12:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fbaca7bbd88190a377d3b74f3d6224 completed May 6, 2026, 9:03 p.m.
Created at: April 9, 2026, 10:19 p.m.