Triple
T19414185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al Fahidi Metro Station |
E485664
|
entity |
| Predicate | hasNearbyDistrict |
P4647
|
FINISHED |
| Object |
Al Raffa
Al Raffa is a residential and commercial neighborhood in the Bur Dubai area of Dubai, known for its mixed-use buildings, local shops, and proximity to the historic city center.
|
E1374873
|
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: Al Raffa | Statement: [Al Fahidi Metro Station, hasNearbyDistrict, Al Raffa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Raffa Context triple: [Al Fahidi Metro Station, hasNearbyDistrict, Al Raffa]
-
A.
Bahr Yussef
Bahr Yussef is an ancient canal in Egypt that diverts water from the Nile to the Faiyum region, historically supporting settlements such as Oxyrhynchus.
-
B.
Ariam
Ariam is a town located in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
C.
Amr Waked
Amr Waked is an Egyptian actor known internationally for his roles in films such as "Syriana," "Lucy," and "Salmon Fishing in the Yemen."
-
D.
Asfar
Asfar is an Israeli settlement in the Gush Etzion bloc located in the southern West Bank.
-
E.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
- 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: Al Raffa Triple: [Al Fahidi Metro Station, hasNearbyDistrict, Al Raffa]
Generated description
Al Raffa is a residential and commercial neighborhood in the Bur Dubai area of Dubai, known for its mixed-use buildings, local shops, and proximity to the historic city center.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Raffa Target entity description: Al Raffa is a residential and commercial neighborhood in the Bur Dubai area of Dubai, known for its mixed-use buildings, local shops, and proximity to the historic city center.
-
A.
Bahr Yussef
Bahr Yussef is an ancient canal in Egypt that diverts water from the Nile to the Faiyum region, historically supporting settlements such as Oxyrhynchus.
-
B.
Ariam
Ariam is a town located in the Ikwuano local government area of Abia State in southeastern Nigeria.
-
C.
Amr Waked
Amr Waked is an Egyptian actor known internationally for his roles in films such as "Syriana," "Lucy," and "Salmon Fishing in the Yemen."
-
D.
Asfar
Asfar is an Israeli settlement in the Gush Etzion bloc located in the southern West Bank.
-
E.
Nasir
Nasir is a masculine given name of Arabic origin commonly used in various Muslim-majority cultures.
- 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_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e62af834fc81908cb176076de10c1c |
completed | April 20, 2026, 1:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733cbd51c819091d81588491924a1 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0735004ef4819083d92bd915bbef77 |
completed | May 15, 2026, 3 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07357ba4848190bf4be4a02242d5b0 |
completed | May 15, 2026, 3:02 p.m. |
Created at: April 10, 2026, 1:37 p.m.