Triple

T9955501
Position Surface form Disambiguated ID Type / Status
Subject Boabdil E195435 entity
Predicate spouse P13 FINISHED
Object Moraima
Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
 E831693 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: Moraima | Statement: [Boabdil, spouse, Moraima]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Moraima
Context triple: [Boabdil, spouse, Moraima]
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • D. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • E. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • 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: Moraima
Triple: [Boabdil, spouse, Moraima]
Generated description
Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Moraima
Target entity description: Moraima was the wife of Boabdil, the last Nasrid ruler of the Emirate of Granada in late medieval Spain.
  • A. Loralai
    Loralai is a town and district in northern Balochistan, Pakistan, known historically as a regional administrative and trade center.
  • B. Tenea
    Tenea was an ancient Greek city, traditionally associated with Corinthian colonists and mythic Trojan origins, known from classical sources and archaeological discoveries in the Peloponnese.
  • C. Nerissa
    Nerissa is a witty and loyal lady-in-waiting to Portia in Shakespeare’s play "The Merchant of Venice," known for her intelligence, humor, and role in the play’s romantic subplots.
  • D. Ainaro
    Ainaro is a mountainous municipality in central-southern Timor-Leste known for its rural communities and use of the Mambae language.
  • E. Sylvana
    Sylvana is a feminine given name, often considered a variant of Silvana, typically associated with meanings related to forests or woodland.
  • 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_69ca82eaaa008190a54fa1a9f954b9ad completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdb69631d08190ab2b1d1c22d46da7 completed April 2, 2026, 12:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69d23d6743c481908a2040eb9d260b4a completed April 5, 2026, 10:45 a.m.
NEDg Description generation batch_69d23e6ee6d48190ae724d0ee96b64bf completed April 5, 2026, 10:50 a.m.
NED2 Entity disambiguation (via description) batch_69d23fd274dc8190b7af27cf503d7dc6 completed April 5, 2026, 10:56 a.m.
Created at: March 30, 2026, 8:46 p.m.