Triple

T783077
Position Surface form Disambiguated ID Type / Status
Subject Luxor E16540 entity
Predicate ancientName P2834 FINISHED
Object Waset
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
 E98742 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: Waset | Statement: [Luxor, ancientName, Waset]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Waset
Context triple: [Luxor, ancientName, Waset]
  • A. Dendera
    Dendera is an ancient Egyptian town best known for the well-preserved Temple of Hathor and its rich archaeological remains along the Nile.
  • B. Dender
    The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
  • C. Deshret
    Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
  • D. Giza
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • E. Helwan
    Helwan is an industrial and residential city in southern Greater Cairo, Egypt, known for its factories, universities, and historic spa resorts along the Nile.
  • 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: Waset
Triple: [Luxor, ancientName, Waset]
Generated description
Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Waset
Target entity description: Waset was the ancient Egyptian city known in Greek as Thebes, a major religious and political center along the Nile.
  • A. Dendera
    Dendera is an ancient Egyptian town best known for the well-preserved Temple of Hathor and its rich archaeological remains along the Nile.
  • B. Dender
    The Dender is a river in Belgium that flows through Wallonia and Flanders before joining the Scheldt near the city of Dendermonde.
  • C. Deshret
    Deshret is the ancient Egyptian Red Crown symbolizing the pharaonic authority and land of Lower Egypt.
  • D. Giza
    Giza is an Egyptian city on the west bank of the Nile, famous for the Giza Plateau where the Great Pyramids and the Sphinx are located.
  • E. Helwan
    Helwan is an industrial and residential city in southern Greater Cairo, Egypt, known for its factories, universities, and historic spa resorts along the Nile.
  • 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_69a4936ad1fc81908f190208059ccf78 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4a7686d0881908c2a4395059be02c completed March 1, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69a79286e8b88190887def813bc65d95 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a792edde248190859bbef2b50c39a0 completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a79342d4108190831131e85f2886c8 completed March 4, 2026, 2:04 a.m.
Created at: March 1, 2026, 7:37 p.m.