Triple

T2102040
Position Surface form Disambiguated ID Type / Status
Subject Anu E37111 entity
Predicate majorCultCenter P9995 FINISHED
Object Der
Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
 E233600 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: Der | Statement: [Anu, majorCultCenter, Der]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Der
Context triple: [Anu, majorCultCenter, Der]
  • A. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • B. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • C. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • D. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • E. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • 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: Der
Triple: [Anu, majorCultCenter, Der]
Generated description
Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Der
Target entity description: Der was an ancient Mesopotamian city known as an important religious center associated with the worship of the god Anu.
  • A. Den
    Den was a prominent pharaoh of Egypt’s First Dynasty, known for early administrative innovations and military campaigns that helped consolidate the young Egyptian state.
  • B. Den
    Den is a Japanese surname borne by various notable figures in politics, industry, and the arts.
  • C. Dern
    Dern is a surname most prominently associated with American actor Bruce Dern and his family of performers.
  • D. De
    De is the given name of Zhu De, a prominent Chinese Communist military leader and one of the founders of the People’s Liberation Army.
  • E. Dal
    Dal is the commonly used short form for Dalhousie University, a major public research university in Halifax, Nova Scotia, Canada.
  • 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_69a8861828948190924aa30c08806b3a completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69abbabc83a8819091f786f21d33b5a6 completed March 7, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae3068189c81909cf76fd1fc2a0fe6 completed March 9, 2026, 2:28 a.m.
NEDg Description generation batch_69ae30f84d548190b2d99162471207a4 completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae317473408190ad67374cfb82a7db completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:43 p.m.