Triple

T6320723
Position Surface form Disambiguated ID Type / Status
Subject Dakhla Oasis E141729 entity
Predicate hasSettlement P1068 FINISHED
Object Mut
Mut is a town in Egypt’s Western Desert that serves as the main administrative and population center of the Dakhla Oasis.
 E585106 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: Mut | Statement: [Dakhla Oasis, hasSettlement, Mut]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mut
Context triple: [Dakhla Oasis, hasSettlement, Mut]
  • A. Mut
    Mut is an ancient Egyptian mother goddess associated with kingship and protection, prominently worshipped at Thebes as a principal consort of Amun.
  • B. Mir
    Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
  • C. Mir
    Mir is a traditional South Asian noble title historically used by rulers and aristocrats, particularly in regions such as Sindh under dynasties like the Talpurs.
  • D. Shadow
    "Shadow" is a visually striking 2018 Chinese wuxia film by director Zhang Yimou, known for its stylized use of monochrome palettes and intricate political intrigue.
  • E. Shadow
    "Shadow" is a pop-rock song by Ashlee Simpson that explores themes of identity and living in the shadow of a more famous sibling.
  • 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: Mut
Triple: [Dakhla Oasis, hasSettlement, Mut]
Generated description
Mut is a town in Egypt’s Western Desert that serves as the main administrative and population center of the Dakhla Oasis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mut
Target entity description: Mut is a town in Egypt’s Western Desert that serves as the main administrative and population center of the Dakhla Oasis.
  • A. Mut
    Mut is an ancient Egyptian mother goddess associated with kingship and protection, prominently worshipped at Thebes as a principal consort of Amun.
  • B. Mir
    Mir was a Soviet and later Russian modular space station that served as a long-term research outpost in low Earth orbit from 1986 to 2001.
  • C. Mir
    Mir is a traditional South Asian noble title historically used by rulers and aristocrats, particularly in regions such as Sindh under dynasties like the Talpurs.
  • D. Shadow
    "Shadow" is a visually striking 2018 Chinese wuxia film by director Zhang Yimou, known for its stylized use of monochrome palettes and intricate political intrigue.
  • E. Shadow
    "Shadow" is a pop-rock song by Ashlee Simpson that explores themes of identity and living in the shadow of a more famous sibling.
  • 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_69c008d13b8c8190be47d896eb735605 completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c064c61f008190b316b9ff1023b057 completed March 22, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69c5e48a8c5c819099f21fdff1ce43f3 completed March 27, 2026, 1:59 a.m.
NEDg Description generation batch_69c5f8b0e0e48190896cc2abc6b26b89 completed March 27, 2026, 3:25 a.m.
NED2 Entity disambiguation (via description) batch_69c5f92a87148190b3c38f312a4901a4 completed March 27, 2026, 3:27 a.m.
Created at: March 22, 2026, 4:29 p.m.