Triple
T12823259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doha Corniche |
E306583
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Doha waterfront |
E306582
|
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: Doha waterfront | Statement: [Doha Corniche, partOf, Doha waterfront]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doha waterfront Context triple: [Doha Corniche, partOf, Doha waterfront]
-
A.
Doha Corniche
Doha Corniche is a prominent waterfront promenade in Doha, Qatar, known for its scenic views of the city skyline and the bay, and as a popular spot for leisure and cultural landmarks.
-
B.
West Bay, Doha
West Bay, Doha is a prominent coastal district of Qatar’s capital city, known for its modern skyline, luxury hotels, and commercial and residential high-rises.
-
C.
Doha Bay
chosen
Doha Bay is a prominent natural harbor along the coast of Doha, Qatar, known for its waterfront skyline and cultural landmarks.
-
D.
Dubai Marina
Dubai Marina is a modern, upscale waterfront district in Dubai known for its high-rise skyline, luxury residences, and vibrant dining and leisure scene along an artificial canal.
-
E.
Port of Doha
The Port of Doha is Qatar’s main seaport and maritime gateway, handling the country’s cargo and passenger traffic along the Persian Gulf.
- 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_69d7bdf46c448190b1faa55aaacb6317 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e9fcc8c8190a926ab0481d28f14 |
completed | April 10, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6b8c962f08190af7dee663a1d2319 |
completed | May 3, 2026, 2:54 a.m. |
Created at: April 9, 2026, 5:32 p.m.