Triple

T3159523
Position Surface form Disambiguated ID Type / Status
Subject Moriscos E66069 entity
Predicate language P15 FINISHED
Object Aljamiado
Aljamiado is a form of written Romance (mainly Spanish) used by Moriscos, characterized by the use of Arabic script to transcribe the vernacular language.
E332086 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: Aljamiado | Statement: [Moriscos, language, Aljamiado]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aljamiado
Context triple: [Moriscos, language, Aljamiado]
  • A. Alkham
    Alkham is a rural village and civil parish in Kent, England, situated in a valley between Dover and Folkestone.
  • B. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • C. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • D. Al-Muzahimiyah
    Al-Muzahimiyah is a town in central Saudi Arabia that serves as a growing satellite community west of Riyadh.
  • E. Muladíes
    Muladíes were Muslims in medieval Iberia of local Christian or mixed origin who had converted to Islam, forming a significant part of the population in al-Andalus and later Muslim-ruled kingdoms like Granada.
  • 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: Aljamiado
Triple: [Moriscos, language, Aljamiado]
Generated description
Aljamiado is a form of written Romance (mainly Spanish) used by Moriscos, characterized by the use of Arabic script to transcribe the vernacular language.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Aljamiado
Target entity description: Aljamiado is a form of written Romance (mainly Spanish) used by Moriscos, characterized by the use of Arabic script to transcribe the vernacular language.
  • A. Alkham
    Alkham is a rural village and civil parish in Kent, England, situated in a valley between Dover and Folkestone.
  • B. Al Mandaq
    Al Mandaq is a town in southwestern Saudi Arabia known for its mountainous terrain and cool climate within the Al Bahah region.
  • C. El Maasara
    El Maasara is a district and suburban area in the southern part of Greater Cairo, Egypt, known for its residential neighborhoods and industrial zones.
  • D. Al-Muzahimiyah
    Al-Muzahimiyah is a town in central Saudi Arabia that serves as a growing satellite community west of Riyadh.
  • E. Muladíes
    Muladíes were Muslims in medieval Iberia of local Christian or mixed origin who had converted to Islam, forming a significant part of the population in al-Andalus and later Muslim-ruled kingdoms like Granada.
  • 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_69ad85850c1481908a9e9c6242238de2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada61606bc8190a8ad760d680924eb completed March 8, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2250d2b8c81908585d9563f9b4d16 completed March 12, 2026, 2:29 a.m.
NEDg Description generation batch_69b225df6978819096c275e266263806 completed March 12, 2026, 2:33 a.m.
NED2 Entity disambiguation (via description) batch_69b2263e62a88190bf260cfcb00a86ea completed March 12, 2026, 2:34 a.m.
Created at: March 8, 2026, 3:05 p.m.