Triple

T23128995
Position Surface form Disambiguated ID Type / Status
Subject Ashur-nadin-shumi E577115 entity
Predicate reignedIn P29663 FINISHED
Object Babylon NE NERFINISHED

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: Babylon | Statement: [Ashur-nadin-shumi, reignedIn, Babylon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babylon
Context triple: [Ashur-nadin-shumi, reignedIn, Babylon]
  • A. Babylon
    Babylon is a town on the South Shore of Long Island in New York, known for its suburban communities, waterfront access, and role as a transportation hub.
  • B. Babylon
    "Babylon" is a studio album by the American heavy metal band Ten, showcasing their melodic hard rock and metal sound.
  • C. Babylon chosen
    Babylon was an ancient Mesopotamian city-state and imperial capital renowned for its monumental architecture, advanced culture, and central role in Near Eastern history and biblical tradition.
  • D. Babylon
    "Babylon" is a 2022 epic period comedy-drama film written and directed by Damien Chazelle that explores the excesses and upheavals of Hollywood’s transition from silent films to sound in the late 1920s.
  • E. Nineveh and Babylon
    "Nineveh and Babylon" is a 19th-century archaeological and travel narrative by Austen Henry Layard detailing his excavations and discoveries in the ancient Assyrian and Babylonian sites of Mesopotamia.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e245f7b0e481909c473ff4e6a54e2c completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18e857b40819081f9df03fff64d48 completed April 29, 2026, 4:52 a.m.
Created at: April 17, 2026, 4 p.m.