Triple

T832385
Position Surface form Disambiguated ID Type / Status
Subject Expo 2020 E17992 entity
Predicate precededBy P97 FINISHED
Object Expo 2017
Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
 E102574 NE FINISHED

How this triple was built (4 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 2017 | Statement: [Expo 2020, precededBy, Expo 2017]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Expo 2017
Context triple: [Expo 2020, precededBy, Expo 2017]
  • 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 2015
    Expo 2015 was a World Expo held in Milan, Italy, focused on the theme of global food, nutrition, and sustainable development.
  • C. Expo '75
    Expo '75 was a world's fair held in Okinawa, Japan, that showcased marine science and technology while promoting the island's post-reversion development and international exchange.
  • D. Expo 85
    Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
  • E. World Expo 88
    World Expo 88 was a major international exposition held in 1988 that showcased global culture, technology, and innovation and significantly transformed its host city's riverfront and international profile.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Expo 2017
Triple: [Expo 2020, precededBy, Expo 2017]
Generated description
Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Expo 2017
Target entity description: Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
  • 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 2015
    Expo 2015 was a World Expo held in Milan, Italy, focused on the theme of global food, nutrition, and sustainable development.
  • C. Expo '75
    Expo '75 was a world's fair held in Okinawa, Japan, that showcased marine science and technology while promoting the island's post-reversion development and international exchange.
  • D. Expo 85
    Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
  • E. World Expo 88
    World Expo 88 was a major international exposition held in 1988 that showcased global culture, technology, and innovation and significantly transformed its host city's riverfront and international profile.
  • F. None of above. chosen

Provenance (5 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_69a4937c9c188190aaa216f6b466f452 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4abb647988190950e1790bcfa60a5 completed March 1, 2026, 9:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7a3b8c9b081908fd04ac23d45e932 completed March 4, 2026, 3:15 a.m.
NEDg Description generation batch_69a7a9696c108190a25271f7fe4b2ccd completed March 4, 2026, 3:39 a.m.
NED2 Entity disambiguation (via description) batch_69a7aa75fb908190bd70054288c249ec completed March 4, 2026, 3:43 a.m.
Created at: March 1, 2026, 7:38 p.m.