Triple

T17391543
Position Surface form Disambiguated ID Type / Status
Subject Battle of Qurna E422834 entity
Predicate location P40 FINISHED
Object Qurna 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: Qurna | Statement: [Battle of Qurna, location, Qurna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Qurna
Context triple: [Battle of Qurna, location, Qurna]
  • A. Qurna chosen
    Qurna is a town in southern Iraq near the confluence of the Tigris and Euphrates rivers, historically significant as a strategic site during World War I.
  • B. Sekhen
    Sekhen is an alternative name for the ancient Egyptian king Ka, an early ruler of the First Dynasty period.
  • C. Kaa-Khem
    Kaa-Khem is the local name for the Little Yenisei River, a tributary of the Yenisei flowing through the Tuva region of southern Siberia.
  • D. Heryshef
    Heryshef is an ancient Egyptian ram-headed god associated with creation, fertility, and the underworld, particularly venerated at Heracleopolis Magna.
  • E. Sekhet-Aaru
    Sekhet-Aaru is the ancient Egyptian paradise in the afterlife, envisioned as a lush, idealized reed field where the blessed dead lived in eternal peace and abundance.
  • 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_69d889d710288190bf0f4762801fefae completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43aba5398819096846bdeefde0788 completed April 19, 2026, 2:15 a.m.
Created at: April 10, 2026, 5:45 a.m.