Triple
T4477905
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terra (Expo 2020 mascot) |
E100055
|
entity |
| Predicate | introducedForEvent |
P8259
|
FINISHED |
| Object | Expo 2020 |
E17992
|
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 | Statement: [Terra (Expo 2020 mascot), introducedForEvent, Expo 2020]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expo 2020 Context triple: [Terra (Expo 2020 mascot), introducedForEvent, Expo 2020]
-
A.
Expo 2020
chosen
Expo 2020 was a World Expo held in Dubai that showcased global innovation, culture, and sustainability through international pavilions and events.
-
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 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.
-
D.
Expo 2002
Expo 2002 was the sixth Swiss national exposition, a large-scale cultural and technological showcase held in 2002 across several sites in the country.
-
E.
Expo
Expo is a popular brand best known for its dry-erase markers and related whiteboard accessories commonly used in schools, offices, and homes.
- 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_69bd7f6773fc819098caa05f0b07235d |
completed | March 20, 2026, 5:09 p.m. |
Created at: March 12, 2026, 11:35 p.m.