Triple

T12547750
Position Surface form Disambiguated ID Type / Status
Subject Islamabad–Rawalpindi metropolitan area E300015 entity
Predicate populationRankInPakistan P105833 FINISHED
Object among largest metropolitan areas in Pakistan 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: among largest metropolitan areas in Pakistan | Statement: [Islamabad–Rawalpindi metropolitan area, populationRankInPakistan, among largest metropolitan areas in Pakistan]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: populationRankInPakistan
Context triple: [Islamabad–Rawalpindi metropolitan area, populationRankInPakistan, among largest metropolitan areas in Pakistan]
  • A. areaRankInPakistan
    Indicates the relative position of an entity when all entities in Pakistan are ordered by their area size.
  • B. populationRankInSindh
    Indicates the relative position of an entity in terms of population size compared to other entities within Sindh.
  • C. rankByHeightPakistan
    Indicates an ordering of entities based on their height specifically within the context of Pakistan.
  • D. populationRankAfter
    Indicates the relative position of an entity in a population-based ordering that comes after another entity’s population rank.
  • E. populationRank
    Indicates the relative position of an entity in an ordered list based on the size of its population.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d95f5507b481908d13cc317b7402f6 completed April 10, 2026, 8:36 p.m.
PD Predicate disambiguation batch_69d95410d0b0819097646edd1b837104 completed April 10, 2026, 7:48 p.m.
PDg Predicate description generation batch_69d95f5148948190946a575d812b329d completed April 10, 2026, 8:36 p.m.
Created at: April 8, 2026, 9:58 p.m.