Triple

T15489786
Position Surface form Disambiguated ID Type / Status
Subject Elephantine E378649 entity
Predicate primaryDeity P7648 FINISHED
Object Satet
Satet is an ancient Egyptian goddess associated with the Nile’s annual inundation, fertility, and protection, particularly venerated at Elephantine near Egypt’s southern border.
 E1160818 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: Satet | Statement: [Elephantine, primaryDeity, Satet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Satet
Context triple: [Elephantine, primaryDeity, Satet]
  • A. Matrah
    Matrah is a historic coastal town in Oman that served as a key trading port and commercial hub during the height of Omani maritime power.
  • B. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • C. Merowe
    Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
  • D. Shetebo
    Shetebo are an indigenous people of the Peruvian Amazon closely related culturally and linguistically to the Shipibo-Conibo.
  • E. Thayet
    Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • 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: Satet
Triple: [Elephantine, primaryDeity, Satet]
Generated description
Satet is an ancient Egyptian goddess associated with the Nile’s annual inundation, fertility, and protection, particularly venerated at Elephantine near Egypt’s southern border.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Satet
Target entity description: Satet is an ancient Egyptian goddess associated with the Nile’s annual inundation, fertility, and protection, particularly venerated at Elephantine near Egypt’s southern border.
  • A. Matrah
    Matrah is a historic coastal town in Oman that served as a key trading port and commercial hub during the height of Omani maritime power.
  • B. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • C. Merowe
    Merowe is a town in northern Sudan situated along the Nile River, known for its proximity to the Fourth Cataract and nearby archaeological and dam sites.
  • D. Shetebo
    Shetebo are an indigenous people of the Peruvian Amazon closely related culturally and linguistically to the Shipibo-Conibo.
  • E. Thayet
    Thayet is a town in central Myanmar known historically as an administrative and trading center along the Irrawaddy River.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03faaca588190b0397bc2e27a522a completed April 16, 2026, 1:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff365d45488190b48458092b6ffead completed May 9, 2026, 1:27 p.m.
NEDg Description generation batch_69ff376dac388190ab3b7e3553d2de29 completed May 9, 2026, 1:32 p.m.
NED2 Entity disambiguation (via description) batch_69ff382f1bbc8190810d0d825430f9ea completed May 9, 2026, 1:35 p.m.
Created at: April 10, 2026, 3:48 a.m.