Triple

T19354917
Position Surface form Disambiguated ID Type / Status
Subject McQueen School E484116 entity
Predicate city P40 FINISHED
Object Kivalina 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: Kivalina | Statement: [McQueen School, city, Kivalina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kivalina
Context triple: [McQueen School, city, Kivalina]
  • A. Kivalina
    Kivalina is a small Inupiat village in northwestern Alaska known for its severe coastal erosion and vulnerability to climate change–driven sea level rise.
  • B. Angoon
    Angoon is a small, predominantly Tlingit community and city located on Admiralty Island in Alaska’s Alexander Archipelago.
  • C. Unalakleet
    Unalakleet is a small Inupiat village in western Alaska, located on the Norton Sound coast and known as a traditional fishing and trading hub.
  • D. Kivalina, Alaska chosen
    Kivalina, Alaska is a small Inupiat village on a barrier island in northwest Alaska that faces severe coastal erosion and climate change–driven relocation challenges.
  • E. Takuu
    Takuu is a remote Polynesian outlier atoll near Papua New Guinea, known for its distinct Polynesian culture and language isolated within Melanesia.
  • 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_69d8e8d244f8819080eb1f3491300db2 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190794188190a94de464d985b5fd completed April 20, 2026, 12:16 p.m.
Created at: April 10, 2026, 1:34 p.m.