Triple
T6668145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rif region |
E151657
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Hoceima
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
|
E610182
|
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: Hoceima | Statement: [Rif region, hasCity, Hoceima]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoceima Context triple: [Rif region, hasCity, Hoceima]
-
A.
Sofia Boutella
Sofia Boutella is an Algerian-French dancer and actress known for her dynamic action roles in films such as "Kingsman: The Secret Service," "Star Trek Beyond," and "The Mummy."
-
B.
Mena Massoud
Mena Massoud is an Egyptian-Canadian actor best known for starring as Aladdin in Disney’s 2019 live-action adaptation of the animated classic.
-
C.
Faika Fuad
Faika Fuad was an Egyptian princess, the daughter of King Fuad I and a member of Egypt’s last ruling royal family.
-
D.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
E.
Alexis Mdivani
Alexis Mdivani was a Georgian-born aristocrat and member of the socially prominent "Marrying Mdivanis," known for his high-profile marriage into great wealth and status.
- 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: Hoceima Triple: [Rif region, hasCity, Hoceima]
Generated description
Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hoceima Target entity description: Hoceima is a coastal city in northern Morocco known for its Mediterranean beaches and location within the Rif Mountains.
-
A.
Sofia Boutella
Sofia Boutella is an Algerian-French dancer and actress known for her dynamic action roles in films such as "Kingsman: The Secret Service," "Star Trek Beyond," and "The Mummy."
-
B.
Mena Massoud
Mena Massoud is an Egyptian-Canadian actor best known for starring as Aladdin in Disney’s 2019 live-action adaptation of the animated classic.
-
C.
Faika Fuad
Faika Fuad was an Egyptian princess, the daughter of King Fuad I and a member of Egypt’s last ruling royal family.
-
D.
Safy Boutella
Safy Boutella is an Algerian musician and composer known for his influential role in modern Algerian music and film scores.
-
E.
Alexis Mdivani
Alexis Mdivani was a Georgian-born aristocrat and member of the socially prominent "Marrying Mdivanis," known for his high-profile marriage into great wealth and status.
- 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_69c687f71fc081909dbd45d6377f6045 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b0c4a8e48190aa3b2e41902d2f86 |
completed | March 27, 2026, 4:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6ef109f5c8190aa28b5d7aa192e6e |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f0a498cc8190a0494082b91b012d |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f136ac648190b94a7cda43139fd0 |
completed | March 27, 2026, 9:05 p.m. |
Created at: March 27, 2026, 2:02 p.m.