Triple
T848826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dubai Creek |
E18336
|
entity |
| Predicate | divides |
P1175
|
FINISHED |
| Object | old 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: old Dubai | Statement: [Dubai Creek, divides, old Dubai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: old Dubai Context triple: [Dubai Creek, divides, old Dubai]
-
A.
Downtown Dubai
Downtown Dubai is a modern, upscale mixed-use district in Dubai known for its iconic skyline, luxury shopping, and major attractions such as the Burj Khalifa and The Dubai Mall.
-
B.
Sheikh Zayed City
Sheikh Zayed City is a planned suburban city in Egypt known for its residential communities, green spaces, and location on the western outskirts of Cairo.
-
C.
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.
-
D.
Muttrah Souq
Muttrah Souq is a historic, maze-like traditional market in Muscat, Oman, renowned for its bustling atmosphere and stalls selling spices, textiles, jewelry, and handicrafts.
-
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_69a4938b04208190b82e1df6b572c548 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac1fac3481909cba7070ce31a9b3 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a792a0666c8190bfc9166d45b4e867 |
completed | March 4, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:38 p.m.