Triple

T37294747
Position Surface form Disambiguated ID Type / Status
Subject Beer Sheva E925768 entity
Predicate populationRankInSouthernDistrict P195025 FINISHED
Object largest city in southern Israel 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 in southern Israel | Statement: [Beer Sheva, populationRankInSouthernDistrict, largest city in southern Israel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInSouthernDistrict
Context triple: [Beer Sheva, populationRankInSouthernDistrict, largest city in southern Israel]
  • A. cityDistrictRank
    Indicates the relative ranking or position of a district within its city, typically based on an ordered criterion such as importance, size, or priority.
  • B. populationRankInCounty
    Indicates the relative position of an entity in terms of population size compared to other entities within the same county.
  • C. populationRankInInlandEmpire
    Indicates the relative position of an entity’s population size compared to other entities within the Inland Empire region.
  • D. countyRank
    Indicates the relative position or standing of a county within a larger ordered set, typically based on some quantitative measure such as size, population, or performance.
  • E. rankByPopulationInNYC
    Indicates the relative ordering of entities based on the size of their populations within New York City.
  • 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_69f76eb0f86c819098dee07393e69ec3 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fd974d75e08190af46b1d608769f3b completed May 8, 2026, 7:57 a.m.
PD Predicate disambiguation batch_69fd94ff792c8190bedf4a639d3da809 completed May 8, 2026, 7:47 a.m.
PDg Predicate description generation batch_69fd974c0e8481909fdd312897c647b3 completed May 8, 2026, 7:57 a.m.
Created at: May 3, 2026, 4:16 p.m.