Triple

T8925672
Position Surface form Disambiguated ID Type / Status
Subject Umma E212533 entity
Predicate hasDeity P5606 FINISHED
Object Inanna E37687 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: Inanna | Statement: [Umma, hasDeity, Inanna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Inanna
Context triple: [Umma, hasDeity, Inanna]
  • A. Inanna chosen
    Inanna is the ancient Mesopotamian goddess of love, beauty, sex, war, and political power, later known as Ishtar.
  • B. Ninhursag
    Ninhursag is a major Sumerian mother goddess associated with fertility, mountains, and the earth.
  • 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. Astarte
    Astarte is an ancient Near Eastern goddess associated primarily with fertility, sexuality, and war, venerated across Canaanite, Phoenician, and later Mediterranean cultures.
  • E. Shamhat
    Shamhat is a pivotal character in the ancient Mesopotamian Epic of Gilgamesh, a temple prostitute whose civilizing encounter with Enkidu sets the main events of the story in motion.
  • 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_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_69d10776e8e88190a4433e42a3b55f38 completed April 4, 2026, 12:43 p.m.
Created at: March 30, 2026, 6:57 p.m.