Triple

T14347717
Position Surface form Disambiguated ID Type / Status
Subject Mithridates V Euergetes E355769 entity
Predicate deathPlace P21 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: [Mithridates V Euergetes, deathPlace, Sinope]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sinope
Context triple: [Mithridates V Euergetes, deathPlace, Sinope]
  • A. Sinope
    Sinope is an irregular, retrograde moon of Jupiter with a distant, eccentric orbit and a likely captured origin.
  • B. 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.
  • C. Anaklia
    Anaklia is a small Georgian Black Sea resort town known for its beaches, modern seaside promenade, and proximity to the Kolkheti wetlands.
  • D. 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.
  • E. Navalnaya
    Navalnaya is the surname of Yulia Navalnaya, a Russian public figure and the widow of opposition leader Alexei Navalny.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd46a12ad08190a2f0dc5890ed5ce9 completed May 8, 2026, 2:12 a.m.
Created at: April 10, 2026, 1:14 a.m.