Triple
T832347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Expo 2020 |
E17992
|
entity |
| Predicate | hostCity |
P1798
|
FINISHED |
| Object | Dubai |
E3323
|
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: Dubai | Statement: [Expo 2020, hostCity, Dubai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Context triple: [Expo 2020, hostCity, Dubai]
-
A.
Dubai
chosen
Dubai is a major global city in the United Arab Emirates known for its rapid development, luxury tourism, and status as a regional business and financial hub.
-
B.
Abu Dhabi
Abu Dhabi is the capital and second-most populous city of the United Arab Emirates, known for its vast oil wealth, modern skyline, and role as a major political and economic center in the Arab world.
-
C.
Sharjah
Sharjah is a major cultural and economic center in the United Arab Emirates, known for its rich heritage, museums, and role as a hub of Islamic arts and education.
-
D.
Doha
Doha is the rapidly developing capital and largest city of Qatar, known for its modern skyline, cultural institutions, and role as a major political and economic center in the Arab world.
-
E.
Dubai Media City
Dubai Media City is a specialized free zone and business hub in Dubai that hosts regional and international media, advertising, and communications companies.
- 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_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_69ac99669a1481909fa42162ffee2d7b |
completed | March 7, 2026, 9:32 p.m. |
Created at: March 1, 2026, 7:38 p.m.