Triple

T8360237
Position Surface form Disambiguated ID Type / Status
Subject Mohandessin E196988 entity
Predicate adjacentTo P224 FINISHED
Object Agouza
Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
 E728916 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: Agouza | Statement: [Mohandessin, adjacentTo, Agouza]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Agouza
Context triple: [Mohandessin, adjacentTo, Agouza]
  • A. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • B. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Akbou
    Akbou is a significant urban center in the Kabylie region of northern Algeria, known for its role as a local economic and cultural hub.
  • E. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • 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: Agouza
Triple: [Mohandessin, adjacentTo, Agouza]
Generated description
Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Agouza
Target entity description: Agouza is a central district of Giza, Egypt, known for its Nile-side location, dense urban fabric, and proximity to downtown Cairo.
  • A. Azeffoun
    Azeffoun is a coastal town and commune in northern Algeria, located in the Kabylie region within Tizi Ouzou Province.
  • B. Garoua
    Garoua is a major city in northern Cameroon that serves as an important commercial and administrative center and a key hub for river and overland transport in the region.
  • C. Kaloum
    Kaloum is the central urban commune of Conakry, Guinea, encompassing the city’s historic core, main government institutions, and port area.
  • D. Akbou
    Akbou is a significant urban center in the Kabylie region of northern Algeria, known for its role as a local economic and cultural hub.
  • E. Zouerate
    Zouerate is an iron-mining town in northern Mauritania that has served as an important industrial center and historical focal point in the Western Sahara conflict.
  • 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_69ca82f2dbe48190aba982e75a0d94de completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb80728eb081909bae6aae45848fab completed March 31, 2026, 8:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69cdc775a548819090c83d916b352f41 completed April 2, 2026, 1:33 a.m.
NEDg Description generation batch_69cdcc872cc081909c75b3fb08b03e3f completed April 2, 2026, 1:55 a.m.
NED2 Entity disambiguation (via description) batch_69cdd15b53748190966a94b7e8c04880 completed April 2, 2026, 2:15 a.m.
Created at: March 30, 2026, 6 p.m.