Triple

T15609546
Position Surface form Disambiguated ID Type / Status
Subject Southern and Eastern Serbia region E375251 entity
Predicate containsCity P294 FINISHED
Object Bor
Bor is a mining town in eastern Serbia known for its large copper deposits and heavy industry.
 E1166949 NE FINISHED

How this triple was built (4 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 | Statement: [Southern and Eastern Serbia region, containsCity, Bor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bor
Context triple: [Southern and Eastern Serbia region, containsCity, Bor]
  • A. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • B. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • C. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • D. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • E. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bor
Triple: [Southern and Eastern Serbia region, containsCity, Bor]
Generated description
Bor is a mining town in eastern Serbia known for its large copper deposits and heavy industry.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bor
Target entity description: Bor is a mining town in eastern Serbia known for its large copper deposits and heavy industry.
  • A. Bor
    Bor is a town in Nizhny Novgorod Oblast, Russia, located on the left bank of the Volga River opposite the city of Nizhny Novgorod and known for its industrial and river transport significance.
  • B. Bor
    Bor is a major town in South Sudan’s Jonglei State, situated on the White Nile and serving as an important regional administrative and transport hub.
  • C. Bor
    Bor is a London Underground station serving the Borough area of Southwark in central London.
  • D. Bor
    Bor is a small town in the Plzeň Region of the Czech Republic, known for its historic architecture and surrounding rural landscape.
  • E. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • F. None of above. chosen

Provenance (5 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_69ff56d51c28819097b8c2c0e2307401 completed May 9, 2026, 3:46 p.m.
NEDg Description generation batch_69ff57c304188190afa695ae88cf0234 completed May 9, 2026, 3:50 p.m.
NED2 Entity disambiguation (via description) batch_69ff5920436c81909addad5bb4566ae9 completed May 9, 2026, 3:56 p.m.
Created at: April 10, 2026, 4:13 a.m.