Triple

T16749514
Position Surface form Disambiguated ID Type / Status
Subject Iron Gates section of the Danube E407035 entity
Predicate crossesPoliticalEntity P107838 FINISHED
Object Bor District E974133 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: Bor District | Statement: [Iron Gates section of the Danube, crossesPoliticalEntity, Bor District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bor District
Context triple: [Iron Gates section of the Danube, crossesPoliticalEntity, Bor District]
  • A. Bor District chosen
    Bor District is an administrative district in eastern Serbia centered around the mining city of Bor.
  • B. Ruhubelent District
    Ruhubelent District is an administrative district in northern Turkmenistan, located within the Daşoguz Region.
  • C. Horki District
    Horki District is an administrative district in the Mogilev Region of eastern Belarus, known for its agricultural activities and the town of Horki as its administrative center.
  • D. Ozyorny District
    Ozyorny District is an administrative district named for its lakeside setting, likely encompassing residential neighborhoods such as Ozyornaya.
  • E. Butebo District
    Butebo District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3aa2532ac81908e5ee5148e35f92e completed April 18, 2026, 3:58 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a522255c8190ab16d7ad233fcd3b completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:21 a.m.