Triple

T21883986
Position Surface form Disambiguated ID Type / Status
Subject Aphrodite's vengeance E540358 entity
Predicate appliedTo P1129 FINISHED
Object Smyrna 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: Smyrna | Statement: [Aphrodite's vengeance, appliedTo, Smyrna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smyrna
Context triple: [Aphrodite's vengeance, appliedTo, Smyrna]
  • A. Smyrna
    Smyrna was a major Aegean port city (modern-day İzmir in Turkey) that served as a key commercial and cultural hub in the Ottoman Empire.
  • B. Smyrna
    Smyrna is a suburban city in the Atlanta metropolitan area known for its residential communities, parks, and proximity to major Atlanta attractions.
  • C. Smyrna
    Smyrna is a small historic town in central Delaware known for its colonial-era roots and location along major transportation routes.
  • D. Smyrna
    Smyrna is a small unincorporated community located within Greenwood County in the U.S. state of Kansas.
  • E. Smyrna chosen
    Smyrna is a figure from Greek mythology, better known as Myrrha, who was transformed into a myrrh tree after an incestuous relationship with her father.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e9d3508190aadcfcdac0376387 completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:05 p.m.