Triple
T18411776
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2012 Yeosu |
E441774
|
entity |
| Predicate | followedBy |
P78
|
FINISHED |
| Object | Expo 2015 Milan |
—
|
NE NERFINISHED |
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 2015 Milan | Statement: [Expo 2012 Yeosu, followedBy, Expo 2015 Milan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Expo 2015 Milan Context triple: [Expo 2012 Yeosu, followedBy, Expo 2015 Milan]
-
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.
Venetian Expo
Venetian Expo is a major convention and exhibition center in Las Vegas, Nevada, known for hosting large trade shows, conferences, and events adjacent to The Venetian resort.
-
C.
Expo 2017
Expo 2017 was an international specialized exposition held in Astana, Kazakhstan, focused on the theme of future energy and sustainable development.
-
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.
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.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9eb8a508190a942fd75ebd8b1dc |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e51a24e130819082b92f98d8d5fa3c |
completed | April 19, 2026, 6:08 p.m. |
Created at: April 10, 2026, 10:47 a.m.