Triple

T27510448
Position Surface form Disambiguated ID Type / Status
Subject Lake Iliamna E694393 entity
Predicate rankingByAreaInUnitedStates P1891 FINISHED
Object one of the largest freshwater lakes in the United States 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: one of the largest freshwater lakes in the United States | Statement: [Lake Iliamna, rankingByAreaInUnitedStates, one of the largest freshwater lakes in the United States]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: rankingByAreaInUnitedStates
Context triple: [Lake Iliamna, rankingByAreaInUnitedStates, one of the largest freshwater lakes in the United States]
  • A. areaRankInUS chosen
    Indicates the relative position of an entity in a ranking of areas within the United States, based on its size.
  • B. areaRankingInContiguousUS
    Indicates the relative position of an entity when U.S. states are ordered by area, considering only those in the contiguous United States.
  • C. rankByPopulationInUS
    Indicates the relative ordering of entities based on the size of their populations within the United States.
  • D. rankByPopulationInUnitedStates
    Indicates the relative ordering of entities based on their population size within the United States.
  • E. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • 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_69ef53842afc8190ba6bd4e4999bda67 completed April 27, 2026, 12:16 p.m.
NER Named-entity recognition batch_69f6a28c7c148190bfc980aad9f678ca completed May 3, 2026, 1:19 a.m.
PD Predicate disambiguation batch_69f69fe1e3c88190830bb2e9f407357e completed May 3, 2026, 1:07 a.m.
Created at: April 27, 2026, 1:15 p.m.