Triple
T832409
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Bus |
E17993
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Dubai Metro |
E17040
|
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 Metro | Statement: [Dubai Bus, connectsTo, Dubai Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Metro Context triple: [Dubai Bus, connectsTo, Dubai Metro]
-
A.
Dubai Metro
chosen
The Dubai Metro is a fully automated, driverless urban rail network that serves as a major public transportation backbone across key areas of Dubai.
-
B.
Dubai Tram
Dubai Tram is a modern light rail transit system serving key residential and commercial areas along Dubai’s Al Sufouh and Marina districts.
-
C.
Dubai Mall/Burj Khalifa station
Dubai Mall/Burj Khalifa station is a major Dubai Metro stop serving the Downtown Dubai area, providing access to landmarks such as the Burj Khalifa and The Dubai Mall.
-
D.
Mall of the Emirates station
Mall of the Emirates station is a Dubai Metro stop on the Red Line that serves the Mall of the Emirates shopping and entertainment complex in Dubai, United Arab Emirates.
-
E.
Tehran Metro
Tehran Metro is the rapid transit system serving Iran’s capital, providing extensive urban and suburban rail transport across the Tehran metropolitan area.
- 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_69a7a3b8c9b081908fd04ac23d45e932 |
completed | March 4, 2026, 3:15 a.m. |
Created at: March 1, 2026, 7:38 p.m.