Triple

T14220915
Position Surface form Disambiguated ID Type / Status
Subject Aspurgus E352487 entity
Predicate predecessor P97 FINISHED
Object Dynamis E1088512 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: Dynamis | Statement: [Aspurgus, predecessor, Dynamis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dynamis
Context triple: [Aspurgus, predecessor, Dynamis]
  • A. Dynamis chosen
    Dynamis was a Bosporan queen of the late 1st century BCE, known for her political influence and dynastic role in the Kingdom of the Cimmerian Bosporus.
  • B. Dynamicum
    Dynamicum is a research and office building on the University of Helsinki’s Kumpula Campus, housing several scientific and meteorological institutions.
  • C. Dramaga
    Dramaga is a district in West Java, Indonesia, known for hosting the main campus of Bogor Agricultural University (IPB) and forming part of the greater Bogor area.
  • D. Daymian
    Daymian is a masculine given name, typically considered a modern spelling variant of Damian.
  • E. Dianema
    Dianema is a small genus of South American freshwater catfish known for their armored bodies and bottom-dwelling behavior.
  • 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_69d8278a06e481908b5d6af0a8afe737 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6213801c8190a47705cd890b9ae7 completed April 14, 2026, 3:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd324f501081908f7017302bc40b3a completed May 8, 2026, 12:46 a.m.
Created at: April 10, 2026, 1:06 a.m.