Triple

T18763589
Position Surface form Disambiguated ID Type / Status
Subject Fussa E458836 entity
Predicate borderedBy P224 FINISHED
Object Hamura 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: Hamura | Statement: [Fussa, borderedBy, Hamura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hamura
Context triple: [Fussa, borderedBy, Hamura]
  • A. Hamura chosen
    Hamura is a city in western Tokyo, Japan, known for its residential neighborhoods and proximity to the Tama River.
  • B. Ziusuddu
    Ziusuddu is a legendary Sumerian figure known as the hero of an ancient Mesopotamian flood myth, often compared to the biblical Noah.
  • C. Sinsharishkun
    Sinsharishkun was one of the last kings of the Neo-Assyrian Empire, whose reign saw the empire’s collapse amid internal strife and external rebellions.
  • D. Hammurabi
    Hammurabi was the sixth king of Babylon, best known for creating one of the earliest and most influential written legal codes in ancient Mesopotamia.
  • E. Hammurabi I of Yamkhad
    Hammurabi I of Yamkhad was a prominent Amorite king of the ancient Syrian city-state of Aleppo, known for expanding its power and influence in the early second millennium BCE.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e58d80a954819083946dafc0c7af05 completed April 20, 2026, 2:20 a.m.
Created at: April 10, 2026, 11:52 a.m.