Triple

T2878830
Position Surface form Disambiguated ID Type / Status
Subject Themistocles E56945 entity
Predicate grantedCity P38439 FINISHED
Object Myus E157091 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: Myus | Statement: [Themistocles, grantedCity, Myus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Myus
Context triple: [Themistocles, grantedCity, Myus]
  • A. Myus chosen
    Myus was an ancient Greek city of Ionia located near the mouth of the Maeander River in western Anatolia.
  • B. Myaso
    Myaso is a colloquial nickname used by fans and rivals to refer to the Russian football club Spartak Moscow, reflecting its historical association with the meat industry.
  • C. Myal
    Myal is an Afro-Caribbean spiritual tradition originating among enslaved Africans in Jamaica, characterized by spirit possession, healing rituals, and resistance to oppression.
  • D. Mysen
    Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
  • E. Myene
    Myene is a Bantu language spoken primarily by the Myene people along Gabon’s Atlantic coast and recognized as one of the country’s main national languages.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe08c85c48190bd8c0f6680fca0c8 completed March 7, 2026, 8:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0315d7cf8819093884c14562ce43f completed March 10, 2026, 2:57 p.m.
Created at: March 6, 2026, 10:03 p.m.