Triple

T16825092
Position Surface form Disambiguated ID Type / Status
Subject Temesvár E408997 entity
Predicate presentDayCityPopulationClass P560 FINISHED
Object major city 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: major city | Statement: [Temesvár, presentDayCityPopulationClass, major city]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: presentDayCityPopulationClass
Context triple: [Temesvár, presentDayCityPopulationClass, major city]
  • A. cityPopulationContext chosen
    Indicates the contextual relationship between a city and information about its population, such as size, distribution, or demographic characteristics.
  • B. currentPopulation
    Indicates the present number of individuals living in or belonging to a specified entity (such as a location or group).
  • C. countryPopulationContext
    Indicates the contextual population characteristics or statistics associated with a specific country.
  • D. populationClass
    Indicates a categorical classification of a population based on shared characteristics, status, or demographic criteria.
  • E. homeCityPopulationRegion
    Indicates that the population of a home city falls within or is associated with a specified geographic region.
  • 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_69d88394566c8190b3dcbdc72935f7fa completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b310ffec81908087e5aaacc4a7c2 completed April 18, 2026, 4:36 p.m.
PD Predicate disambiguation batch_69e32b814b188190aee525f8779203cd completed April 18, 2026, 6:58 a.m.
Created at: April 10, 2026, 5:23 a.m.