Triple

T544167
Position Surface form Disambiguated ID Type / Status
Subject Tigris E12695 entity
Predicate passesThroughCity P416 FINISHED
Object Diyarbakır
Diyarbakır is a major historic city in southeastern Turkey, renowned for its extensive black basalt city walls and rich Kurdish and Mesopotamian heritage.
 E68771 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: Diyarbakır | Statement: [Tigris, passesThroughCity, Diyarbakır]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Diyarbakır
Context triple: [Tigris, passesThroughCity, Diyarbakır]
  • A. Gaziantep
    Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
  • B. Konya
    Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
  • C. Erbil
    Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
  • D. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • E. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • 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: Diyarbakır
Triple: [Tigris, passesThroughCity, Diyarbakır]
Generated description
Diyarbakır is a major historic city in southeastern Turkey, renowned for its extensive black basalt city walls and rich Kurdish and Mesopotamian heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Diyarbakır
Target entity description: Diyarbakır is a major historic city in southeastern Turkey, renowned for its extensive black basalt city walls and rich Kurdish and Mesopotamian heritage.
  • A. Gaziantep
    Gaziantep is a major city in southeastern Turkey known for its rich history, cultural heritage, and renowned pistachio-based cuisine, especially baklava.
  • B. Konya
    Konya is a major city in central Anatolia known for its rich Seljuk heritage and as the home of the Sufi mystic Rumi and the Whirling Dervishes.
  • C. Erbil
    Erbil is the capital and largest city of the Kurdistan Region in northern Iraq, known as one of the world’s oldest continuously inhabited urban centers.
  • D. Samsun
    Samsun is a major Turkish port city on the Black Sea coast, known as an important regional hub for maritime trade and industry.
  • E. Mosul
    Mosul is a major historic city in northern Iraq, known as a cultural and economic center on the Tigris River.
  • 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_69a49334226c81908b0ea1689ef6aa3f completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a498dea88881908a938fe8f2313bec completed March 1, 2026, 7:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4e02e0c1c81908fcb5356dc2b8f97 completed March 2, 2026, 12:56 a.m.
NEDg Description generation batch_69a4e124306c8190bce165e684507553 completed March 2, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a4e1e73b0c8190b4f050f76f8e58de completed March 2, 2026, 1:03 a.m.
Created at: March 1, 2026, 7:32 p.m.