Triple

T17770687
Position Surface form Disambiguated ID Type / Status
Subject Chichagof Island E443627 entity
Predicate rankingByAreaInAlexanderArchipelagoIslands P85070 FINISHED
Object second largest LITERAL 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: second largest | Statement: [Chichagof Island, rankingByAreaInAlexanderArchipelagoIslands, second largest]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInAlexanderArchipelagoIslands
Context triple: [Chichagof Island, rankingByAreaInAlexanderArchipelagoIslands, second largest]
  • A. rankByAreaInCanadaIslands
    Indicates the numerical position of an island in Canada when all Canadian islands are ordered by their land area from largest to smallest.
  • B. rankingBySizeUSIslands chosen
    Indicates the relative order of U.S. islands based on their size, from largest to smallest (or vice versa).
  • C. rankInBritishIslesByArea
    Indicates the position of an entity in an ordered list of areas specifically within the British Isles, based on its size relative to others.
  • D. populationRankInRuralAlaska
    Indicates the relative position of an entity in terms of population size compared to other entities located in rural Alaska.
  • E. rankInWorldByArea
    Indicates the position of an entity in a global ordering based on its total area size.
  • F. None of above.

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_69d8b9edf16c8190a59ebd245d378f4f completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e485ff928481909fe32260ba57978f completed April 19, 2026, 7:36 a.m.
PD Predicate disambiguation batch_69e3d8d8e538819084f1584426b41d5e completed April 18, 2026, 7:17 p.m.
Created at: April 10, 2026, 10:11 a.m.