Triple
T4412687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meydan Racecourse |
E94887
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Nad Al Sheba
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
|
E442439
|
NE FINISHED |
How this triple was built (4 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: Nad Al Sheba | Statement: [Meydan Racecourse, locatedIn, Nad Al Sheba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nad Al Sheba Context triple: [Meydan Racecourse, locatedIn, Nad Al Sheba]
-
A.
Khor Fakkan
Khor Fakkan is a coastal city on the Gulf of Oman in the United Arab Emirates, known for its natural harbor, beaches, and scenic mountainous backdrop.
-
B.
Ras al-Amud
Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
-
C.
Al Wajh
Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
-
D.
Ras Tanura
Ras Tanura is a major Saudi Arabian oil port and industrial city on the Persian Gulf, known for its large oil refinery and export facilities.
-
E.
Shati Al-Qurm
Shati Al-Qurm is an upscale coastal district in Muscat, Oman, known for its beaches, embassies, and prominent cultural venues.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nad Al Sheba Triple: [Meydan Racecourse, locatedIn, Nad Al Sheba]
Generated description
Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nad Al Sheba Target entity description: Nad Al Sheba is a district in Dubai, United Arab Emirates, best known for its major horse racing facilities and upscale residential developments.
-
A.
Khor Fakkan
Khor Fakkan is a coastal city on the Gulf of Oman in the United Arab Emirates, known for its natural harbor, beaches, and scenic mountainous backdrop.
-
B.
Ras al-Amud
Ras al-Amud is a predominantly Palestinian residential neighborhood located on the Mount of Olives in East Jerusalem.
-
C.
Al Wajh
Al Wajh is a coastal town and port on the Red Sea in northwestern Saudi Arabia’s Hejaz region.
-
D.
Ras Tanura
Ras Tanura is a major Saudi Arabian oil port and industrial city on the Persian Gulf, known for its large oil refinery and export facilities.
-
E.
Shati Al-Qurm
Shati Al-Qurm is an upscale coastal district in Muscat, Oman, known for its beaches, embassies, and prominent cultural venues.
- F. None of above. chosen
Provenance (5 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e7b30c819082ee781dd202dcc4 |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b627eb49308190a6830cbc52ad45cf |
completed | March 15, 2026, 3:30 a.m. |
| NEDg | Description generation | batch_69b628ffed1c819097d048712e9aafef |
completed | March 15, 2026, 3:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b6298d1ff88190a58a6fc5992ef864 |
completed | March 15, 2026, 3:37 a.m. |
Created at: March 12, 2026, 11:29 p.m.