Triple

T3276585
Position Surface form Disambiguated ID Type / Status
Subject Diyarbakır E68771 entity
Predicate ancientName P2834 FINISHED
Object Amed
Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
 E344308 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: Amed | Statement: [Diyarbakır, ancientName, Amed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Amed
Context triple: [Diyarbakır, ancientName, Amed]
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Amel
    Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
  • C. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • D. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • E. Amik
    Amik is the beaver mascot created for the 1976 Summer Olympics in Montreal, symbolizing hard work and industriousness.
  • 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: Amed
Triple: [Diyarbakır, ancientName, Amed]
Generated description
Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Amed
Target entity description: Amed is the historical name of the city now known as Diyarbakır, a major cultural and political center in southeastern Turkey, especially significant for Kurdish heritage.
  • A. Amarar
    Amarar is the native name used by the Beja people to refer to themselves or their community.
  • B. Amel
    Amel is a municipality in the predominantly German-speaking region of eastern Belgium, known for its rural character and location in the Ardennes.
  • C. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • D. Amreya
    Amreya is a district within Egypt’s Alexandria region, known for its mix of industrial zones, residential areas, and proximity to the Mediterranean coast.
  • E. Amik
    Amik is the beaver mascot created for the 1976 Summer Olympics in Montreal, symbolizing hard work and industriousness.
  • 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_69ad859b54f881909bf530d549caf2fd completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb0128f08819084644f3c8fda2596 completed March 8, 2026, 5:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2e8462a0c8190aba2330da6c49ecf completed March 12, 2026, 4:22 p.m.
NEDg Description generation batch_69b2e9448fa881909001b6c39333359f completed March 12, 2026, 4:26 p.m.
NED2 Entity disambiguation (via description) batch_69b2e9a10e2c8190ba67635ae2425470 completed March 12, 2026, 4:28 p.m.
Created at: March 8, 2026, 3:10 p.m.