Triple

T1063327
Position Surface form Disambiguated ID Type / Status
Subject Medan E22954 entity
Predicate populationRankOnSumatra P1026 FINISHED
Object largest city on Sumatra 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: largest city on Sumatra | Statement: [Medan, populationRankOnSumatra, largest city on Sumatra]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankOnSumatra
Context triple: [Medan, populationRankOnSumatra, largest city on Sumatra]
  • A. hasPopulationRank chosen
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • B. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • C. populationRankInVietnam
    Indicates the relative position of an entity in terms of population size compared to other entities within Vietnam.
  • D. populationRankInGuam
    Indicates the relative position of an entity in terms of population size compared to other entities within Guam.
  • 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_69a493dada0481909c43649f9843ea91 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b8f85cc08190ae03ac6c84936cc5 completed March 1, 2026, 10:08 p.m.
PD Predicate disambiguation batch_69a4b7359eb881909c868a558861cc18 completed March 1, 2026, 10:01 p.m.
Created at: March 1, 2026, 7:42 p.m.