Triple

T10154625
Position Surface form Disambiguated ID Type / Status
Subject Akkadian Empire E232741 entity
Predicate precededBy P97 FINISHED
Object Kish (city-state) E212532 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: Kish (city-state) | Statement: [Akkadian Empire, precededBy, Kish (city-state)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kish (city-state)
Context triple: [Akkadian Empire, precededBy, Kish (city-state)]
  • A. Kish
    Kish is a popular Iranian resort island in the Persian Gulf, known for its free-trade zone status, beaches, and tourism facilities.
  • B. Kish
    Kish is a Benjaminite figure in the Hebrew Bible best known as the father of Israel’s first king, Saul.
  • C. Kish chosen
    Kish was an important ancient Sumerian city-state in Mesopotamia, often associated with early kingship traditions and political power in the region.
  • D. Kish City
    Kish City is the main urban and administrative center of Kish Island, a popular tourist and commercial hub in the Persian Gulf.
  • E. Kirishi
    Kirishi is an industrial town in northwestern Russia known for its major oil refinery and chemical industries.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec38f594819088a7eb73fc25feff completed April 2, 2026, 4:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6541e488190814e6395f219eb12 completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.