Triple

T11083060
Position Surface form Disambiguated ID Type / Status
Subject Anizah E262049 entity
Predicate hasDemonym P191 FINISHED
Object Anazah
Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
 E903889 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: Anazah | Statement: [Anizah, hasDemonym, Anazah]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Anazah
Context triple: [Anizah, hasDemonym, Anazah]
  • A. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • B. Azinhal
    Azinhal is a civil parish in the municipality of Castro Marim in Portugal’s Algarve region, known for its rural character and traditional village setting.
  • C. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • D. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • E. Anozie
    Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
  • 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: Anazah
Triple: [Anizah, hasDemonym, Anazah]
Generated description
Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Anazah
Target entity description: Anazah is a tribal Arab community historically associated with the Anizah confederation, known for its Bedouin heritage across the Arabian Peninsula and surrounding regions.
  • A. Anezal
    Anezal is a village located in the Jbel Sirwa mountain region of southern Morocco.
  • B. Azinhal
    Azinhal is a civil parish in the municipality of Castro Marim in Portugal’s Algarve region, known for its rural character and traditional village setting.
  • C. Anjra
    Anjra is a town in northern Morocco, historically notable as the birthplace of the Sufi scholar and Quran commentator Ibn ‘Ajiba.
  • D. Anara
    Anara is a town in West Bengal, India, known as the birthplace of acclaimed filmmaker and poet Buddhadeb Dasgupta.
  • E. Anozie
    Anozie is the surname of British-Nigerian actor Nonso Anozie, known for his roles in film, television, and theatre.
  • 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_69d6aa9983c08190b0ef61603b69feac completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d799bf89f48190889f08d2f5dd220a completed April 9, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3e79854c88190bda69cfbe4ae9d1e completed April 18, 2026, 8:20 p.m.
NEDg Description generation batch_69e3f2cafc008190a3504999297f1e4e completed April 18, 2026, 9:08 p.m.
NED2 Entity disambiguation (via description) batch_69e3f488819081908f9a4225279cde6b completed April 18, 2026, 9:15 p.m.
Created at: April 8, 2026, 9:27 p.m.