Triple
T18949842
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Rashid |
E463614
|
entity |
| Predicate | nearbyPlace |
P2064
|
FINISHED |
| Object | Shindagha |
—
|
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: Shindagha | Statement: [Port Rashid, nearbyPlace, Shindagha]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shindagha Context triple: [Port Rashid, nearbyPlace, Shindagha]
-
A.
Al Shindagha
chosen
Al Shindagha is a historic waterfront district in Dubai, United Arab Emirates, known as one of the city’s oldest neighborhoods and a key heritage and cultural area.
-
B.
Al Markh
Al Markh is a village in Bahrain located within the country's Northern Governorate.
-
C.
Zefta
Zefta is a village located in southern Lebanon within the Nabatieh Governorate.
-
D.
Khaldiya
Khaldiya is a residential district in Kuwait City known for its middle-class housing and proximity to major urban amenities.
-
E.
Ad-Damazin
Ad-Damazin is a city in southeastern Sudan that serves as the main urban and administrative center of the Blue Nile region, near the Roseires Dam on the Blue Nile River.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d541ef18819080b2e253dd23835d |
completed | April 20, 2026, 7:26 a.m. |
Created at: April 10, 2026, noon