Triple

T2102095
Position Surface form Disambiguated ID Type / Status
Subject Enlil E37112 entity
Predicate child P120 FINISHED
Object Ishkur
Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
 E233607 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: Ishkur | Statement: [Enlil, child, Ishkur]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ishkur
Context triple: [Enlil, child, Ishkur]
  • A. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • B. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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: Ishkur
Triple: [Enlil, child, Ishkur]
Generated description
Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ishkur
Target entity description: Ishkur is a Mesopotamian storm and rain god associated with thunder, fertility, and seasonal weather.
  • A. Khashuri
    Khashuri is a town in central Georgia that serves as an important regional transport hub and gateway between eastern and western parts of the country.
  • B. Ishbak
    Ishbak is a lesser-known son of the biblical patriarch Abraham, mentioned among the children he had later in life.
  • C. Ihnasya
    Ihnasya is a city in Egypt known for its location within the Beni Suef Governorate along the Nile Valley.
  • D. Hazaragi
    Hazaragi is a variety of Persian primarily spoken by the Hazara people of central Afghanistan and surrounding regions, distinguished by its unique phonology and significant Turkic and Mongolic influences.
  • E. Yunaska
    Yunaska is the maiden surname of Lara Trump, who is married to Eric Trump, son of former U.S. President Donald Trump.
  • 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.