Triple

T6217018
Position Surface form Disambiguated ID Type / Status
Subject Graeae E139013 entity
Predicate alsoKnownAs P39 FINISHED
Object Graiai E139013 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: Graiai | Statement: [Graeae, alsoKnownAs, Graiai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Graiai
Context triple: [Graeae, alsoKnownAs, Graiai]
  • A. Teurnia
    Teurnia was an important ancient Roman city that served as a major administrative and cultural center in the province of Noricum, located in what is now southern Austria.
  • B. Orlysiens
    Orlysiens are the inhabitants or natives of Orly, a commune in the southern suburbs of Paris, France.
  • C. Graeae chosen
    The Graeae are three ancient Greek mythological sisters who share a single eye and tooth among them and are consulted by Perseus on his quest to defeat Medusa.
  • D. Vlichos
    Vlichos is a small coastal village on the Greek island of Hydra, known for its traditional stone houses, quiet beaches, and scenic seaside promenade.
  • E. Mazaces
    Mazaces was a late Achaemenid Persian official who briefly governed Egypt as satrap during the empire’s final years before Alexander the Great’s conquest.
  • 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_69c008aecb0c81909984b48f733ce8ae completed March 22, 2026, 3:20 p.m.
NER Named-entity recognition batch_69c062a35e308190be25c41b02704411 completed March 22, 2026, 9:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69c20db4e0ac8190ba7bca1f9d8ac6df completed March 24, 2026, 4:06 a.m.
Created at: March 22, 2026, 4:21 p.m.