Triple

T8925852
Position Surface form Disambiguated ID Type / Status
Subject Nanna E212536 entity
Predicate temple P13905 FINISHED
Object E-kishnugal
E-kishnugal was a major Sumerian temple complex in the city of Ur dedicated to the moon god Nanna (Sin).
 E766753 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: E-kishnugal | Statement: [Nanna, temple, E-kishnugal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: E-kishnugal
Context triple: [Nanna, temple, E-kishnugal]
  • A. Kesava
    Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
  • B. Utsab
    Utsab is a Bengali film directed by Rituparno Ghosh that explores complex family dynamics during a festive gathering at an ancestral home.
  • C. Sarkar
    Sarkar is a 2018 Tamil-language political action film directed by A.R. Murugadoss and starring Vijay, known for its themes of electoral reform and its commercial success in Indian cinema.
  • D. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • E. Viswasam
    Viswasam is a 2019 Tamil-language action drama film starring Ajith Kumar, known for its rural setting, family-centric storyline, and mass commercial appeal.
  • 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: E-kishnugal
Triple: [Nanna, temple, E-kishnugal]
Generated description
E-kishnugal was a major Sumerian temple complex in the city of Ur dedicated to the moon god Nanna (Sin).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: E-kishnugal
Target entity description: E-kishnugal was a major Sumerian temple complex in the city of Ur dedicated to the moon god Nanna (Sin).
  • A. Kesava
    Kesava is a revered epithet of the Hindu god Vishnu, highlighting him as the slayer of the demon Keshi and the one with beautiful, luxuriant hair.
  • B. Utsab
    Utsab is a Bengali film directed by Rituparno Ghosh that explores complex family dynamics during a festive gathering at an ancestral home.
  • C. Sarkar
    Sarkar is a 2018 Tamil-language political action film directed by A.R. Murugadoss and starring Vijay, known for its themes of electoral reform and its commercial success in Indian cinema.
  • D. Kesari
    Kesari is a figure in Hindu mythology known as the vanara chief and father of the deity Hanuman.
  • E. Viswasam
    Viswasam is a 2019 Tamil-language action drama film starring Ajith Kumar, known for its rural setting, family-centric storyline, and mass commercial appeal.
  • 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.