Triple

T11629177
Position Surface form Disambiguated ID Type / Status
Subject Piye E276350 entity
Predicate father P120 FINISHED
Object Kashta E654452 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: Kashta | Statement: [Piye, father, Kashta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kashta
Context triple: [Piye, father, Kashta]
  • A. Kashta chosen
    Kashta was a Kushite king of Nubia in the 8th century BCE who began the expansion into Egypt that his successors, including Shabaka, would complete.
  • B. Kauthara
    Kauthara was an important historical city that served as one of the principal political and cultural centers of the Champa civilization in what is now central Vietnam.
  • C. Khoni
    Khoni is a small town in western Georgia’s Imereti region, known for its historical churches and surrounding natural landscapes.
  • D. Tahawus
    Tahawus is a remote hamlet in New York’s Adirondack Mountains known for its historic iron mining operations and proximity to High Peaks wilderness areas.
  • E. Khenthap
    Khenthap was an early ancient Egyptian queen, likely of the 1st Dynasty, known primarily as the consort of King Hor-Aha and possibly the mother of his successor.
  • 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_69d6aafa51148190ab84940694c00235 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a127b2688190ae3a340f851e834b completed April 10, 2026, 7:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019075f4c81908e0cde830231b229 completed April 28, 2026, 2:18 a.m.
Created at: April 8, 2026, 9:39 p.m.