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.