Triple

T3750258
Position Surface form Disambiguated ID Type / Status
Subject Allardyce Range E81310 entity
Predicate nearestSettlement P3883 FINISHED
Object Grytviken E73752 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: Grytviken | Statement: [Allardyce Range, nearestSettlement, Grytviken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grytviken
Context triple: [Allardyce Range, nearestSettlement, Grytviken]
  • A. Grytviken chosen
    Grytviken is a former whaling station and now-abandoned settlement on the island of South Georgia, notable for its historical role in Antarctic exploration and as the burial place of Ernest Shackleton.
  • B. Barentsburg
    Barentsburg is a Russian mining settlement on the Norwegian archipelago of Svalbard, known for its coal industry and Soviet-era character.
  • C. Longyearbyen
    Longyearbyen is the world’s northernmost permanent settlement and the largest town in the Norwegian Arctic archipelago of Svalbard.
  • D. Hvalsey
    Hvalsey is the best-preserved Norse ruin site in Greenland, known for its stone church and remnants of a medieval farming settlement.
  • E. Lenakel
    Lenakel is an Oceanic language spoken primarily on Tanna Island in Vanuatu.
  • 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_69ad8b19b7b08190a6188804e99c53e9 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb6d0ac4819092c9a41cc60f518d completed March 8, 2026, 7:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db31f964819087bab143f638754f completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:35 p.m.