Triple

T14220878
Position Surface form Disambiguated ID Type / Status
Subject Leucon I E352486 entity
Predicate controlledCity P7580 FINISHED
Object Panticapaeum E69813 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: Panticapaeum | Statement: [Leucon I, controlledCity, Panticapaeum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Panticapaeum
Context triple: [Leucon I, controlledCity, Panticapaeum]
  • A. Panticapaeum chosen
    Panticapaeum was an important ancient Greek city and trading center on the Cimmerian Bosporus, located where the modern city of Kerch in Crimea now stands.
  • B. Bactra
    Bactra is the ancient name of Balkh, a historically significant city in northern Afghanistan that was a major center of trade, culture, and religion along the Silk Road.
  • C. Lampsacus
    Lampsacus was an ancient Greek city on the eastern shore of the Hellespont, known as a center of philosophy and culture in classical antiquity.
  • D. Edessa
    Edessa is a historic city in northern Greece renowned for its picturesque waterfalls and ancient heritage.
  • E. Edessa
    Edessa was an ancient city in Upper Mesopotamia, renowned as a major early center of Syriac Christianity and culture.
  • 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_69fd4676a2bc8190af239516ddbbf5e3 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:06 a.m.