Triple

T10078532
Position Surface form Disambiguated ID Type / Status
Subject Panionion E213835 entity
Predicate gatheredCities P91961 FINISHED
Object Lebedus E154012 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: Lebedus | Statement: [Panionion, gatheredCities, Lebedus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lebedus
Context triple: [Panionion, gatheredCities, Lebedus]
  • A. Lebedus chosen
    Lebedus was an ancient Greek city of Ionia on the western coast of Asia Minor, known as a minor but strategically located coastal settlement involved in regional trade and politics.
  • B. Beloi
    Beloi is a coastal village on Atauro Island in East Timor, known for its beaches, coral reefs, and role as a gateway for tourism and local community life.
  • C. Golymin
    Golymin is a village in east-central Poland best known as the site of a significant engagement during the Napoleonic Wars.
  • D. Lyova
    Lyova is a Russian diminutive form of the male given name Lev.
  • E. Tarschys
    Tarschys is a Swedish surname most notably associated with political scientist and former Secretary General of the Council of Europe Daniel Tarschys.
  • 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_69ca839bf730819086900c323c9b8c95 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cdd030a0fc819084b523e8e63636fa completed April 2, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69d29ad05bbc8190b103d66c9e786c86 completed April 5, 2026, 5:24 p.m.
Created at: March 30, 2026, 9 p.m.