Triple

T8926199
Position Surface form Disambiguated ID Type / Status
Subject Old Babylonian Empire E212543 entity
Predicate includedCity P8465 FINISHED
Object Eshnunna
Eshnunna was an important ancient Mesopotamian city-state in the Diyala River region, known for its early legal code and strategic role in Old Babylonian politics and trade.
 E766768 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: Eshnunna | Statement: [Old Babylonian Empire, includedCity, Eshnunna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Eshnunna
Context triple: [Old Babylonian Empire, includedCity, Eshnunna]
  • A. Ekhoni
    Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • D. Echdach
    Echdach was a member of the early medieval Scottish royal lineage, known primarily as a son of Áed Find, king of Dál Riata.
  • E. Gannushkina
    Gannushkina is a Russian surname most notably associated with Svetlana Gannushkina, a prominent human rights activist and mathematician.
  • 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: Eshnunna
Triple: [Old Babylonian Empire, includedCity, Eshnunna]
Generated description
Eshnunna was an important ancient Mesopotamian city-state in the Diyala River region, known for its early legal code and strategic role in Old Babylonian politics and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Eshnunna
Target entity description: Eshnunna was an important ancient Mesopotamian city-state in the Diyala River region, known for its early legal code and strategic role in Old Babylonian politics and trade.
  • A. Ekhoni
    Ekhoni is a Bengali film directed by Tapan Sinha, known for its realistic portrayal of urban youth and social issues in contemporary Kolkata.
  • B. Nesuhi
    Nesuhi was a prominent Turkish-American record producer and music executive best known for his influential work in jazz, particularly at Atlantic Records.
  • C. Evessa
    Evessa is a professional basketball team based in Osaka, Japan, competing in the B.League.
  • D. Echdach
    Echdach was a member of the early medieval Scottish royal lineage, known primarily as a son of Áed Find, king of Dál Riata.
  • E. Gannushkina
    Gannushkina is a Russian surname most notably associated with Svetlana Gannushkina, a prominent human rights activist and mathematician.
  • 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_69ca839481d48190b42b037e0d0f636c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66700fb48190874563e535f20437 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba58e9ec81909141c516d05ac790 completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbade9330819096d4b0eeacdad6da completed April 3, 2026, 1:04 p.m.
NED2 Entity disambiguation (via description) batch_69cfbec2b8888190a0390168fdcef05f completed April 3, 2026, 1:21 p.m.
Created at: March 30, 2026, 6:57 p.m.