Triple

T4314320
Position Surface form Disambiguated ID Type / Status
Subject Sanjak of Batum E94150 entity
Predicate hasPortCity P2745 FINISHED
Object Batum E41677 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: Batum | Statement: [Sanjak of Batum, hasPortCity, Batum]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Batum
Context triple: [Sanjak of Batum, hasPortCity, Batum]
  • A. Batumi chosen
    Batumi is a major Black Sea resort city in southwestern Georgia known for its beaches, modern skyline, and role as a regional economic and cultural hub.
  • B. Baku
    Baku is the capital and largest city of Azerbaijan, known for its rich blend of Islamic heritage and modern architecture on the shores of the Caspian Sea.
  • C. Batum district
    Batum district was a historical administrative region centered on the Black Sea port city of Batum (now Batumi), strategically important in the Caucasus and contested between the Ottoman and Russian Empires.
  • D. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • E. Kizlyar
    Kizlyar is a town in the Republic of Dagestan, Russia, known historically as a frontier settlement and trading center in the North Caucasus region.
  • 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_69b3451886588190a3dd1305ea7c58dc completed March 12, 2026, 10:58 p.m.
NER Named-entity recognition batch_69b350f4448481908be2c7df9cc71bb9 completed March 12, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5e4ef0ca881908d9811183adc26c4 completed March 14, 2026, 10:45 p.m.
Created at: March 12, 2026, 11:12 p.m.