Triple

T1507484
Position Surface form Disambiguated ID Type / Status
Subject Sara E33933 entity
Predicate hasVariant P455 FINISHED
Object Sahra
Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
 E171830 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: Sahra | Statement: [Sara, hasVariant, Sahra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Sahra
Context triple: [Sara, hasVariant, Sahra]
  • A. Sarona
    Sarona is a restored historical neighborhood and popular leisure district in central Tel Aviv, known for its preserved Templar buildings, upscale restaurants, and shopping.
  • B. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • C. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • D. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • E. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • 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: Sahra
Triple: [Sara, hasVariant, Sahra]
Generated description
Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Sahra
Target entity description: Sahra is a feminine given name, commonly considered a variant spelling of Sara or Sarah used in various cultures.
  • A. Sarona
    Sarona is a restored historical neighborhood and popular leisure district in central Tel Aviv, known for its preserved Templar buildings, upscale restaurants, and shopping.
  • B. Tihamah
    Tihamah is a low-lying coastal plain along the Red Sea in western Arabia, known historically as a hot, arid region encompassing parts of modern-day Saudi Arabia and Yemen.
  • C. Marwa
    Marwa is one of the two small hills in Mecca that Muslims traverse between during the ritual of Sa'i in the Hajj and Umrah pilgrimages.
  • D. Shawiya
    Shawiya refers to an Amazigh (Berber) ethnic group and their Zenati Berber language spoken primarily in the Aurès Mountains of northeastern Algeria.
  • E. Jahra
    Jahra is a major town and administrative center in western Kuwait, known historically as an agricultural area and now as a growing suburban and commercial hub.
  • 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_69a885f352a4819099b24ff15489dede completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a8891c80a88190a813aab099abe2b0 completed March 4, 2026, 7:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad23397c048190b1d2097874ed1792 completed March 8, 2026, 7:20 a.m.
NEDg Description generation batch_69ad23ac782481909575f00ce3d7b382 completed March 8, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69ad24411d0081909ab2fab326eecd6d completed March 8, 2026, 7:24 a.m.
Created at: March 4, 2026, 7:24 p.m.