Triple

T10847481
Position Surface form Disambiguated ID Type / Status
Subject Mekelle E256050 entity
Predicate populationRankInEthiopia P96051 FINISHED
Object one of the largest cities in Ethiopia 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 cities in Ethiopia | Statement: [Mekelle, populationRankInEthiopia, one of the largest cities in Ethiopia]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInEthiopia
Context triple: [Mekelle, populationRankInEthiopia, one of the largest cities in Ethiopia]
  • A. populationRankInArmenia
    Indicates the relative position of an entity in terms of population size compared to other entities within Armenia.
  • B. populationRankInSudan
    Indicates the relative position of an entity in terms of population size compared to other entities within Sudan.
  • C. areaRankingInEstonia
    Indicates the relative position of something in a size-based ranking specifically within the context of Estonia.
  • D. populationRankInBurkinaFaso
    Indicates the relative position of an entity in terms of population size compared to other entities within Burkina Faso.
  • E. hasPopulationRankInEstonia
    Indicates the relative position of an entity in the ordered list of populations within Estonia, such as its rank by population size compared to other entities in the country.
  • F. None of above. chosen

Provenance (4 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_69d6aa81a5d08190aa86689061d1ddd2 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75113bc188190ac78df0c51d95de6 completed April 9, 2026, 7:11 a.m.
PD Predicate disambiguation batch_69d70d2b51448190bae748ed6c23edde completed April 9, 2026, 2:21 a.m.
PDg Predicate description generation batch_69d7101c96708190808fef73199e8482 completed April 9, 2026, 2:34 a.m.
Created at: April 8, 2026, 9:20 p.m.