Triple

T4477926
Position Surface form Disambiguated ID Type / Status
Subject Expo 2015 E100056 entity
Predicate officialName P66 FINISHED
Object Expo Milano 2015 E100056 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 Milano 2015 | Statement: [Expo 2015, officialName, Expo Milano 2015]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Expo Milano 2015
Context triple: [Expo 2015, officialName, Expo Milano 2015]
  • A. Expo 2015 chosen
    Expo 2015 was a World Expo held in Milan, Italy, focused on the theme of global food, nutrition, and sustainable development.
  • B. Expo 2017
    Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
  • C. Expo 85
    Expo 85 was a world's fair held in Tsukuba, Japan, showcasing advances in science and technology during the mid-1980s.
  • D. Expo 2025
    Expo 2025 is a World Expo scheduled to be held in Osaka, Japan, focusing on innovation and global collaboration around the theme of designing future societies.
  • E. Expo 92
    Expo 92 was a world's fair held in Seville, Spain, in 1992 to celebrate the 500th anniversary of Christopher Columbus's voyage to the Americas, showcasing global culture, technology, and innovation.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356d9d1d08190b3f9356eefd237dc completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b62888ea508190a052c0b2edee7fca completed March 15, 2026, 3:33 a.m.
Created at: March 12, 2026, 11:35 p.m.