Triple

T9078187
Position Surface form Disambiguated ID Type / Status
Subject Exhibition Road E217542 entity
Predicate partOf P40 FINISHED
Object Albertopolis E170812 NE 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: Albertopolis | Statement: [Exhibition Road, partOf, Albertopolis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Albertopolis
Context triple: [Exhibition Road, partOf, Albertopolis]
  • A. Albertopolis chosen
    Albertopolis is the South Kensington cultural and educational district in London, developed in the Victorian era around institutions like museums and colleges inspired by Prince Albert’s vision for arts and science.
  • B. Dynapolis
    Dynapolis is a conceptual dynamic city model that envisions an urban environment designed for continuous growth, adaptation, and transformation over time.
  • C. Crown City
    Crown City is a nickname for Pasadena, California, highlighting its reputation as an elegant, historically rich city known for events like the Rose Parade.
  • D. Metropolia
    Metropolia was the former name of the Russian Orthodox Greek Catholic Church of America, the predecessor body that evolved into today’s Orthodox Church in America.
  • E. Bogo City
    Bogo City is a component city in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding rural municipalities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69ca83d6c14c8190bc056d927f00a2a2 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc95c7d3688190a4c1c6a92965eae4 completed April 1, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cffe190c28819098ee017c75d72ad0 completed April 3, 2026, 5:51 p.m.
Created at: March 30, 2026, 7:12 p.m.