Triple

T5086300
Position Surface form Disambiguated ID Type / Status
Subject Sinop E114644 entity
Predicate ancientName P2834 FINISHED
Object Sinope E114644 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: Sinope | Statement: [Sinop, ancientName, Sinope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinope
Context triple: [Sinop, ancientName, Sinope]
  • A. Sinop chosen
    Sinop is a historic port city on Turkey’s Black Sea coast, long valued for its strategic harbor and role in regional trade and defense.
  • B. Anaklia
    Anaklia is a small Georgian Black Sea resort town known for its beaches, modern seaside promenade, and proximity to the Kolkheti wetlands.
  • C. Comana Pontica
    Comana Pontica was an ancient town in the region of Pontus (in modern-day Turkey), known as a religious center and later as the place where John Chrysostom died in exile.
  • D. Sevastopolskaya
    Sevastopolskaya is a Moscow Metro station serving the Serpukhovsko–Timiryazevskaya Line in the city’s southern part.
  • E. Olbia Pontica
    Olbia Pontica was an ancient Greek colony and important Black Sea port city located near the mouth of the Southern Bug River in what is now Ukraine.
  • 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_69bd443e941881908eb4e8c685b6f656 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd751db4f4819088b998d7af0e6f41 completed March 20, 2026, 4:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69beb13fd3a88190b5a665ba56fdd455 completed March 21, 2026, 2:54 p.m.
Created at: March 20, 2026, 1:40 p.m.