Triple

T15609578
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate containsRegion P285 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: [Southern and Eastern Serbia region, containsRegion, Bor District]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bor District
Context triple: [Southern and Eastern Serbia region, containsRegion, Bor District]
  • A. Bor District chosen
    Bor District is an administrative district in eastern Serbia centered around the mining city of Bor.
  • B. 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.
  • C. Ozyorny District
    Ozyorny District is an administrative district named for its lakeside setting, likely encompassing residential neighborhoods such as Ozyornaya.
  • D. Butebo District
    Butebo District is an administrative district in eastern Uganda known for its predominantly rural communities and agriculture-based economy.
  • E. Bade District
    Bade District is an urban district in Taoyuan City, Taiwan, known for its residential communities and growing industrial and commercial development.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e8024948190a6c711f2e5c2aac4 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f37383c81909d0efce84508a034 completed May 9, 2026, 4:22 p.m.
Created at: April 10, 2026, 4:13 a.m.