Triple

T21248771
Position Surface form Disambiguated ID Type / Status
Subject Temple of Khnum at Esna E523685 entity
Predicate alsoHonors P15675 FINISHED
Object Satet NE NERFINISHED

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: Satet | Statement: [Temple of Khnum at Esna, alsoHonors, Satet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Satet
Context triple: [Temple of Khnum at Esna, alsoHonors, Satet]
  • A. Satet chosen
    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.
  • B. 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.
  • C. Saqar
    Saqar is a term in the Qur'an referring to a severe level of Hell associated with intense punishment for disbelievers.
  • D. 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.
  • E. Shetebo
    Shetebo are an indigenous people of the Peruvian Amazon closely related culturally and linguistically to the Shipibo-Conibo.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b5146c108190adc9adb73e90abff completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7359c7a648190b4345336ac3be024 completed April 21, 2026, 8:30 a.m.
Created at: April 16, 2026, 3:56 p.m.