Triple

T9517590
Position Surface form Disambiguated ID Type / Status
Subject Koura District E229563 entity
Predicate capital P234 FINISHED
Object Amioun
Amioun is a historic town in northern Lebanon known for its ancient churches, olive groves, and role as a cultural center of the Koura region.
 E804412 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: Amioun | Statement: [Koura District, capital, Amioun]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amioun
Context triple: [Koura District, capital, Amioun]
  • A. K'naan
    K'naan is a Somali-Canadian rapper, singer, and poet best known internationally for his inspirational song "Wavin' Flag."
  • B. Maïssade
    Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
  • C. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • D. Maghnia
    Maghnia is a town in northwestern Algeria near the Moroccan border, known as the birthplace of Algeria’s first president, Ahmed Ben Bella.
  • E. Hammoud
    Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
  • 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: Amioun
Triple: [Koura District, capital, Amioun]
Generated description
Amioun is a historic town in northern Lebanon known for its ancient churches, olive groves, and role as a cultural center of the Koura region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amioun
Target entity description: Amioun is a historic town in northern Lebanon known for its ancient churches, olive groves, and role as a cultural center of the Koura region.
  • A. K'naan
    K'naan is a Somali-Canadian rapper, singer, and poet best known internationally for his inspirational song "Wavin' Flag."
  • B. Maïssade
    Maïssade is a commune and town in Haiti known for its agricultural activities and location within the country’s central plateau region.
  • C. Beni Khiar
    Beni Khiar is a coastal town in northeastern Tunisia known for its beaches, agriculture, and role as a local commercial center.
  • D. Maghnia
    Maghnia is a town in northwestern Algeria near the Moroccan border, known as the birthplace of Algeria’s first president, Ahmed Ben Bella.
  • E. Hammoud
    Hammoud is an Arabic-origin surname commonly borne by individuals and families across the Middle East and its diaspora.
  • 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_69ca84777560819084cddd999badc1aa completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9880417c819097dde277988df36d completed April 1, 2026, 10:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69d13a4aeb008190ae5d54367efe2722 completed April 4, 2026, 4:20 p.m.
NEDg Description generation batch_69d13c78d6108190ad2cab79070077a8 completed April 4, 2026, 4:29 p.m.
NED2 Entity disambiguation (via description) batch_69d13d2aac8c8190a00c8fe820baa732 completed April 4, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:59 p.m.