Triple

T3508548
Position Surface form Disambiguated ID Type / Status
Subject Wolfsburg E74139 entity
Predicate twinCity P1072 FINISHED
Object Kocani
Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
 E362818 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: Kocani | Statement: [Wolfsburg, twinCity, Kocani]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kocani
Context triple: [Wolfsburg, twinCity, Kocani]
  • A. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • B. Kraljevo
    Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
  • C. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Viminacium
    Viminacium was a major Roman city and military camp on the Danube, located in the province of Moesia (in present-day Serbia), known for its strategic importance and extensive archaeological remains.
  • 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: Kocani
Triple: [Wolfsburg, twinCity, Kocani]
Generated description
Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kocani
Target entity description: Kocani is a town in eastern North Macedonia known for its rice production and geothermal springs.
  • A. Nikšić
    Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
  • B. Kraljevo
    Kraljevo is a city in central Serbia known as a regional administrative and cultural center, situated near several important medieval Serbian monasteries.
  • C. Čukarica
    Čukarica is a municipality of Belgrade known for its mix of urban neighborhoods, industrial zones, and green areas along the Sava River.
  • D. Kamenitsa
    Kamenitsa is a prominent mountain peak in Bulgaria’s Pirin range, known for its rugged alpine terrain and scenic hiking routes.
  • E. Viminacium
    Viminacium was a major Roman city and military camp on the Danube, located in the province of Moesia (in present-day Serbia), known for its strategic importance and extensive archaeological remains.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0cc394819087a9b598023f4f93 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b373e3cd808190807d4acae2942a9d completed March 13, 2026, 2:18 a.m.
NEDg Description generation batch_69b3746f1de4819091c5bcbf8a988ef1 completed March 13, 2026, 2:20 a.m.
NED2 Entity disambiguation (via description) batch_69b374f5999c8190ae48570a412dc6dc completed March 13, 2026, 2:22 a.m.
Created at: March 8, 2026, 3:18 p.m.