Triple
T13194293
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Abu Dhabi Island |
E314071
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Al Mushrif
Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
|
E1027673
|
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 Mushrif | Statement: [Abu Dhabi Island, hasPart, Al Mushrif]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Al Mushrif Context triple: [Abu Dhabi Island, hasPart, Al Mushrif]
-
A.
Al-Mubarraz
Al-Mubarraz is a major city in Saudi Arabia’s Eastern Province, forming a twin urban area with nearby Hofuf in the fertile Al-Ahsa oasis region.
-
B.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
-
C.
Al Mithnab
Al Mithnab is a town in central Saudi Arabia known as one of the populated localities within the Qassim Region.
-
D.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
E.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
- 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 Mushrif Triple: [Abu Dhabi Island, hasPart, Al Mushrif]
Generated description
Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Al Mushrif Target entity description: Al Mushrif is a primarily residential district in Abu Dhabi known for its villas, embassies, and proximity to key city landmarks.
-
A.
Al-Mubarraz
Al-Mubarraz is a major city in Saudi Arabia’s Eastern Province, forming a twin urban area with nearby Hofuf in the fertile Al-Ahsa oasis region.
-
B.
Al Mokawloon
Al Mokawloon is an Egyptian football club known for developing talented players, including international star Mohamed Salah.
-
C.
Al Mithnab
Al Mithnab is a town in central Saudi Arabia known as one of the populated localities within the Qassim Region.
-
D.
Al-Hareeq
Al-Hareeq is a town in central Saudi Arabia known for its agricultural activity, particularly date palm cultivation, within the Riyadh region.
-
E.
Al Mandaq
Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c6158e4819082c8ad75b4dfdd90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f600f7a08190bcdd80d5563517c3 |
completed | May 3, 2026, 7:15 a.m. |
| NEDg | Description generation | batch_69f6fa2e76fc819095f9a7e83189283c |
completed | May 3, 2026, 7:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6fb52f82c81909dcec658c7f58ec7 |
completed | May 3, 2026, 7:37 a.m. |
Created at: April 9, 2026, 9:16 p.m.