Triple

T15724591
Position Surface form Disambiguated ID Type / Status
Subject Babylonian kingship ideology E381187 entity
Predicate hasKeyDeity P7648 FINISHED
Object Šamaš E1079400 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: Šamaš | Statement: [Babylonian kingship ideology, hasKeyDeity, Šamaš]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šamaš
Context triple: [Babylonian kingship ideology, hasKeyDeity, Šamaš]
  • A. Šamaš chosen
    Šamaš is the Mesopotamian sun god revered as a divine judge and protector of justice in Babylonian and earlier Sumerian religion.
  • B. Setesh
    Setesh is an alternative transliteration of Set, the ancient Egyptian god associated with chaos, storms, deserts, and disorder.
  • C. Shapash
    Shapash is the Phoenician sun goddess, often depicted as a powerful celestial deity associated with light, justice, and guidance among the gods and humans.
  • D. Tarḫunna
    Tarḫunna is the chief storm god of the Hittite pantheon, associated with thunder, rain, and kingship.
  • E. Shalla-Bal
    Shalla-Bal is a prominent Marvel Comics character, the beloved of the Silver Surfer and often the spiritual and political leader of his homeworld, Zenn-La.
  • 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_69d86d9cdb648190bf3171be0bd7d872 completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e04fb1fdd4819088f3e243263e5f73 completed April 16, 2026, 2:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff876759288190b263cbea00fdaba4 completed May 9, 2026, 7:13 p.m.
Created at: April 10, 2026, 4:46 a.m.