Triple
T20862015
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Dubai |
E513642
|
entity |
| Predicate | hasEvent |
P811
|
FINISHED |
| Object | Dubai Expo 2020 |
—
|
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: Dubai Expo 2020 | Statement: [City of Dubai, hasEvent, Dubai Expo 2020]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Expo 2020 Context triple: [City of Dubai, hasEvent, Dubai 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 City Dubai
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.
-
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.
Dubai Exhibition Centre
Dubai Exhibition Centre is a large, state-of-the-art events and conference complex in Dubai that served as the central hub for exhibitions, conferences, and business activities during Expo 2020.
-
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_69e0b4f5b01081909452f654d2fc3f50 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c3ad3d1c8190be2fe35a85f2447c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 12:44 p.m.