Triple

T20675916
Position Surface form Disambiguated ID Type / Status
Subject Russian Antarctic Expedition E508158 entity
Predicate hasPart P35 FINISHED
Object Progress Station NE NERFINISHED

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: Progress Station | Statement: [Russian Antarctic Expedition, hasPart, Progress Station]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Progress Station
Context triple: [Russian Antarctic Expedition, hasPart, Progress Station]
  • A. Progress Station chosen
    Progress Station is a Russian research base in Antarctica used for scientific studies and logistical support in the region.
  • B. Upper Station
    Upper Station is the hilltop terminal of Pittsburgh’s historic Duquesne Incline funicular, serving as its upper boarding and observation point.
  • C. Way Station
    Way Station is a classic science fiction novel by Clifford D. Simak about a reclusive Civil War veteran who secretly operates an intergalactic transit hub on Earth.
  • D. Grabs Station
    Grabs Station is a small settlement in Austria that developed around the local railway station serving the village of Grabs.
  • E. Central Station
    Central Station was the original name of Lisbon’s historic Rossio railway station, a key 19th-century rail hub known for its distinctive Neo-Manueline architecture.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cf18b48190be6995e197946517 completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.