Triple

T291671
Position Surface form Disambiguated ID Type / Status
Subject Iraq E6006 entity
Predicate UNESCOWorldHeritageSiteWithin P10482 FINISHED
Object Babylon E23692 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: Babylon | Statement: [Iraq, UNESCOWorldHeritageSiteWithin, Babylon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Babylon
Context triple: [Iraq, UNESCOWorldHeritageSiteWithin, Babylon]
  • A. 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.
  • B. Ashur
    Ashur is an ancient Mesopotamian city in northern Iraq that served as the first capital and religious center of the Assyrian Empire.
  • C. Nippur
    Nippur was an ancient Sumerian city in Mesopotamia that served as a major religious center dedicated to the god Enlil.
  • D. Akkad
    Akkad was an ancient Mesopotamian city and region best known as the center of the Akkadian Empire, one of the world’s earliest great empires.
  • E. Assyria
    Assyria was an ancient Mesopotamian kingdom and later empire known for its powerful military, advanced administration, and influential cities such as Nineveh and Ashur.
  • 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_69a2e79114b081909490b3bf5a5dbb51 completed Feb. 28, 2026, 1:03 p.m.
NER Named-entity recognition batch_69a2ee002dd0819080f0841eb9107ee3 completed Feb. 28, 2026, 1:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69a3cafbcc10819083680d9a24fe2a2b completed March 1, 2026, 5:13 a.m.
Created at: Feb. 28, 2026, 1:06 p.m.