Triple
T17662815
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MOE station |
E440294
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Dubai Metro |
—
|
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 Metro | Statement: [MOE station, partOf, Dubai Metro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dubai Metro Context triple: [MOE station, partOf, 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.
Red Line (Dubai Metro)
Red Line (Dubai Metro) is one of the main rapid transit lines in Dubai, running along the city's central corridor and connecting key commercial, residential, and airport areas.
-
D.
Palm Jumeirah Monorail
The Palm Jumeirah Monorail is an elevated rail line in Dubai that connects the Palm Jumeirah artificial island to the mainland, serving as a key transit link for residents and tourists.
-
E.
Riyadh Metro
Riyadh Metro is a major rapid transit system in Riyadh, Saudi Arabia, designed to modernize urban transportation and reduce congestion across the city.
- 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_69d8b9e87e18819087104a44dc4dc5b1 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e46ea73c90819087a23a7b6171f581 |
completed | April 19, 2026, 5:56 a.m. |
Created at: April 10, 2026, 9:51 a.m.