Triple

T27161156
Position Surface form Disambiguated ID Type / Status
Subject Varosha (abandoned quarter) E682663 entity
Predicate populationBefore1974 P171324 FINISHED
Object approximately 39,000 inhabitants 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: approximately 39,000 inhabitants | Statement: [Varosha (abandoned quarter), populationBefore1974, approximately 39,000 inhabitants]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationBefore1974
Context triple: [Varosha (abandoned quarter), populationBefore1974, approximately 39,000 inhabitants]
  • A. regionAfter1974
    Indicates that the specified region is defined or recognized as it exists after the year 1974, typically reflecting post-1974 political or administrative boundaries.
  • B. formerPopulation
    Indicates that an entity once had a certain population value or size during a past time period but no longer does.
  • C. lastKnownPopulations
    Indicates the most recently recorded population counts associated with an entity or set of entities.
  • D. hasPopulationAsOf
    Indicates that a population count is associated with a specific point or date in time when that population figure was valid or recorded.
  • E. preWarPopulation chosen
    Indicates the population size of an entity as it existed before a specified war or conflict.
  • 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_69eefacf6e788190a75a64399d9e3109 completed April 27, 2026, 5:57 a.m.
NER Named-entity recognition batch_69f6b903538481909cffcb6cc1cc0e70 completed May 3, 2026, 2:54 a.m.
PD Predicate disambiguation batch_69f6b626120c819097c9ad04487570d7 completed May 3, 2026, 2:42 a.m.
Created at: April 27, 2026, 9:18 a.m.