Triple

T22106369
Position Surface form Disambiguated ID Type / Status
Subject Aisha E546296 entity
Predicate variantForm P4680 FINISHED
Object Aïcha E1439108 NE FINISHED

How this triple was built (2 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: Aïcha | Statement: [Aisha, variantForm, Aïcha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aïcha
Context triple: [Aisha, variantForm, Aïcha]
  • A. Aïcha chosen
    Aïcha is a feminine given name of Arabic origin, commonly used in various cultures and often associated with the name Aisha.
  • B. Nafoua
    Nafoua is a small settlement located on the remote Polynesian outlier island of Sikaiana in the Solomon Islands.
  • C. Aicha of Morocco
    Aicha of Morocco was a Moroccan princess and daughter of King Mohammed V, known for her pioneering role in promoting women's rights and modernization in Morocco.
  • D. Salouf
    Salouf is a small village in the Oberhalbstein (Surses) region of the canton of Graubünden in eastern Switzerland, known for its traditional alpine character and Romansh heritage.
  • E. Intissar
    Intissar is an Arabic given name, commonly used for women, that means "victory" or "triumph."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69e11e378dc08190896d6a51597afd5a completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f12919dd388190b8ca08e2464cb0b8 completed April 28, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a8f158e108190a7826dc302d6cfc0 completed May 18, 2026, 4:01 a.m.
Created at: April 16, 2026, 8:30 p.m.