Triple

T1189563
Position Surface form Disambiguated ID Type / Status
Subject Senkaku Islands E25325 entity
Predicate largestIslandArea P157 FINISHED
Object about 4.3 square kilometres 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: about 4.3 square kilometres | Statement: [Senkaku Islands, largestIslandArea, about 4.3 square kilometres]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: largestIslandArea
Context triple: [Senkaku Islands, largestIslandArea, about 4.3 square kilometres]
  • A. hasLargestContinuousLandAreaOn
    Indicates that an entity possesses the greatest uninterrupted expanse of land on a specified geographic region or surface compared to all other entities.
  • B. landArea chosen
    Indicates the total surface area of a piece of land associated with an entity, typically measured in standardized units (e.g., square meters, hectares).
  • C. isLargestContiguousLandmass
    Indicates that one landmass is the largest single, unbroken continuous area of land compared to all other landmasses in the relevant context.
  • D. hasLargestCountryByArea
    Indicates that, among a set of compared entities, the subject is associated with the country that has the greatest land area.
  • 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_69a49427d98881908646d6c63b8cea1e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd57c3c481908bdca483fcaa3297 completed March 1, 2026, 10:27 p.m.
PD Predicate disambiguation batch_69a4bb5bacc481909e8dfd5215e4711a completed March 1, 2026, 10:19 p.m.
Created at: March 1, 2026, 7:45 p.m.