Triple

T2102115
Position Surface form Disambiguated ID Type / Status
Subject Enlil E37112 entity
Predicate equivalent P3575 FINISHED
Object Ellil E37112 NE FINISHED

How this triple was built (2 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: Ellil | Statement: [Enlil, equivalent, Ellil]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ellil
Context triple: [Enlil, equivalent, Ellil]
  • A. Oshtur
    Oshtur is a powerful cosmic elder goddess in Marvel Comics, known as one of the Vishanti who grants mystical power to sorcerers like Doctor Strange.
  • B. Enki
    Enki is a major Sumerian god associated with water, wisdom, creation, and magic, often depicted as a benefactor of humanity and a master of divine knowledge.
  • C. Ninlil
    Ninlil is a Mesopotamian goddess, traditionally known as the wife of the god Enlil and associated with air, grain, and the city of Nippur.
  • D. Erra
    Erra is the pen name of Yerrapragada, a prominent medieval Telugu poet and scholar renowned for his contributions to classical Telugu literature.
  • E. Enlil chosen
    Enlil is a chief god in ancient Mesopotamian religion, associated with wind, air, and authority over the cosmos.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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.
Created at: March 4, 2026, 7:43 p.m.