Triple
T6192038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nador |
E138412
|
entity |
| Predicate | isNear |
P350
|
FINISHED |
| Object |
Beni Ensar
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
|
E577804
|
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: Beni Ensar | Statement: [Nador, isNear, Beni Ensar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beni Ensar Context triple: [Nador, isNear, Beni Ensar]
-
A.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
B.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
-
C.
Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
-
D.
Mohandessin
Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban life.
-
E.
Beni-Amir
Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
- 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: Beni Ensar Triple: [Nador, isNear, Beni Ensar]
Generated description
Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beni Ensar Target entity description: Beni Ensar is a coastal town in northeastern Morocco known for its port and proximity to the Spanish enclave of Melilla.
-
A.
Butrus
Butrus is an alternative transliteration of the Arabic given name "Boutros," itself derived from "Peter."
-
B.
Sallah
Sallah is a jovial, resourceful Egyptian excavator and close ally of Indiana Jones who helps him navigate dangerous archaeological adventures.
-
C.
Omar
Omar is a masculine given name of Arabic origin meaning "flourishing" or "long-lived," borne by numerous historical and contemporary figures worldwide.
-
D.
Mohandessin
Mohandessin is a prominent, upscale district in Giza, Egypt, known for its residential neighborhoods, commercial avenues, and vibrant urban life.
-
E.
Beni-Amir
Beni-Amir is a subgroup of the Beja people, an Afro-Asiatic ethnic group traditionally inhabiting regions of northeastern Africa such as Sudan and Eritrea.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06241977c81909ab8486f5aa30be0 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c20d8e4b308190b855cb04c9cfefeb |
completed | March 24, 2026, 4:05 a.m. |
| NEDg | Description generation | batch_69c2161cb8dc8190ae4e6939e392c8d4 |
completed | March 24, 2026, 4:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c2168aba8c8190841f8c2520a246ea |
completed | March 24, 2026, 4:43 a.m. |
Created at: March 22, 2026, 4:19 p.m.