Triple

T1533797
Position Surface form Disambiguated ID Type / Status
Subject Greenwich Island E32504 entity
Predicate separatedFrom P243 FINISHED
Object Livingston Island E109528 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: Livingston Island | Statement: [Greenwich Island, separatedFrom, Livingston Island]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Livingston Island
Context triple: [Greenwich Island, separatedFrom, Livingston Island]
  • A. Livingston Island chosen
    Livingston Island is a large, glacier-covered island in Antarctica’s South Shetland archipelago, known for its rugged terrain, research stations, and rich polar wildlife.
  • B. Clarence Island
    Clarence Island is a remote, ice-covered island in the South Shetland Islands archipelago off the northern tip of the Antarctic Peninsula.
  • C. Northerly Island
    Northerly Island is a man-made peninsula and park on Chicago’s lakefront known for its natural areas, walking trails, and concert venue with views of the city skyline.
  • D. Georges Island
    Georges Island is a historic island in Boston Harbor best known for Fort Warren, a 19th-century coastal fortification and Civil War prison.
  • E. Nansen Island
    Nansen Island is a polar island named in honor of Norwegian explorer, scientist, and humanitarian Fridtjof Nansen.
  • 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa61f8df00819086f34847e2170e12 completed March 6, 2026, 5:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5d78933c81908359b0010b9e6147 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:26 p.m.