Triple

T4433998
Position Surface form Disambiguated ID Type / Status
Subject Luxor Temple E95602 entity
Predicate dedicatedTo P500 FINISHED
Object Khonsu E230360 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: Khonsu | Statement: [Luxor Temple, dedicatedTo, Khonsu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Khonsu
Context triple: [Luxor Temple, dedicatedTo, Khonsu]
  • A. Khonsu chosen
    Khonsu is an ancient Egyptian lunar god associated with time, healing, and protection, often worshipped as the son of Amun and Mut.
  • B. Sobek
    Sobek is an ancient Egyptian crocodile-headed god associated with the Nile, military power, and protection.
  • C. Amun
    Amun is a major ancient Egyptian deity, often associated with the sun and creation and later merged with Ra as Amun-Ra, who became one of the chief gods of the Egyptian pantheon.
  • D. Nefertem
    Nefertem is an ancient Egyptian lotus god associated with the rising sun, beauty, and healing, particularly revered in the religious traditions of Memphis.
  • E. Khnum
    Khnum is an ancient Egyptian ram-headed god associated with the Nile’s inundation, creation, and the molding of human beings on a potter’s wheel.
  • 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_69b3453ea2b48190a26f154b3b8fece5 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b35587bc048190aee8e0ed94b6e064 completed March 13, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69badb1f4e248190909d29048b91c118 completed March 18, 2026, 5:04 p.m.
Created at: March 12, 2026, 11:31 p.m.