Triple

T4315799
Position Surface form Disambiguated ID Type / Status
Subject Expo 2020 station E96387 entity
Predicate serves P98 FINISHED
Object Expo 2020 site E108554 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: Expo 2020 site | Statement: [Expo 2020 station, serves, Expo 2020 site]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo 2020 site
Context triple: [Expo 2020 station, serves, Expo 2020 site]
  • A. Expo 2020
    Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
  • B. Expo 2020 station
    Expo 2020 station is a Dubai Metro station that serves the Expo 2020 site and its surrounding developments in Dubai, United Arab Emirates.
  • C. Expo City Dubai chosen
    Expo City Dubai is a sustainable, mixed-use urban district in Dubai that evolved from the Expo 2020 site into a permanent hub for innovation, business, and culture.
  • D. Dubai Frame
    The Dubai Frame is a massive rectangular landmark and observation structure in Dubai that offers panoramic views of both the city’s historic districts and its modern skyline.
  • E. Expo 2008 site
    The Expo 2008 site is the former international exposition grounds in Zaragoza, Spain, now a redeveloped urban area featuring modern architecture, cultural venues, and public spaces along the Ebro River.
  • 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_69b345422aac81909ddbadae437d122e completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b350f60dfc819098202b7eb3bbf402 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5d08245408190b1ce584c636bf168 completed March 14, 2026, 9:17 p.m.
Created at: March 12, 2026, 11:12 p.m.