Triple

T3366007
Position Surface form Disambiguated ID Type / Status
Subject Qena Governorate E70836 entity
Predicate hasSettlement P1068 FINISHED
Object Dishna
Dishna is a town in Egypt’s Qena Governorate, located in Upper Egypt along the Nile and known for its agricultural surroundings.
 E351842 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: Dishna | Statement: [Qena Governorate, hasSettlement, Dishna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dishna
Context triple: [Qena Governorate, hasSettlement, Dishna]
  • A. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • D. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • E. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • 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: Dishna
Triple: [Qena Governorate, hasSettlement, Dishna]
Generated description
Dishna is a town in Egypt’s Qena Governorate, located in Upper Egypt along the Nile and known for its agricultural surroundings.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dishna
Target entity description: Dishna is a town in Egypt’s Qena Governorate, located in Upper Egypt along the Nile and known for its agricultural surroundings.
  • A. Darsa
    Darsa is a small, sparsely inhabited island in the Indian Ocean that forms part of Yemen’s remote Socotra archipelago, known for its isolation and rich marine life.
  • B. Dausa
    Dausa is a town and district headquarters in the Indian state of Rajasthan, known for its historical forts, stepwells, and proximity to Jaipur.
  • C. Errana
    Errana is a medieval Telugu poet known for collaborating on and continuing the composition of the Telugu Mahabharata.
  • D. Ballana
    Ballana is an important archaeological site in Lower Nubia known for its rich group of royal tumulus graves from the post-Meroitic period.
  • E. Dumarao
    Dumarao is a municipality in the province of Capiz in the Western Visayas region of the Philippines, known for its predominantly agricultural economy and rural communities.
  • 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_69ad85a729d48190afd789cd8417f289 completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb287a30c8190b4c40091675c94fb completed March 8, 2026, 5:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69b325500eac8190b6f43864af8bda6c completed March 12, 2026, 8:42 p.m.
NEDg Description generation batch_69b329016c7c819098b494ae5d712036 completed March 12, 2026, 8:58 p.m.
NED2 Entity disambiguation (via description) batch_69b329aca800819091f287a2f00557a2 completed March 12, 2026, 9:01 p.m.
Created at: March 8, 2026, 3:13 p.m.