Triple

T14059733
Position Surface form Disambiguated ID Type / Status
Subject Heves County E338311 entity
Predicate contains P35 FINISHED
Object Lőrinci
Lőrinci is a small town in northern Hungary known for its industrial background and location within Heves County.
 E1080052 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: Lőrinci | Statement: [Heves County, contains, Lőrinci]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lőrinci
Context triple: [Heves County, contains, Lőrinci]
  • A. Lőcse
    Lőcse is a historic town in present-day Slovakia, renowned for its well-preserved medieval center and significant role in the history of Upper Hungary.
  • B. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • C. Rozsnyó
    Rozsnyó is a historic town in present-day Slovakia, known for its medieval center and long-standing cultural significance within the Felvidék (Upper Hungary) region.
  • D. Szentlőrinc
    Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
  • E. Lőrinc
    Lőrinc is the Hungarian given name equivalent to Laurentius (Lawrence), traditionally used as a male first name in Hungary.
  • 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: Lőrinci
Triple: [Heves County, contains, Lőrinci]
Generated description
Lőrinci is a small town in northern Hungary known for its industrial background and location within Heves County.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lőrinci
Target entity description: Lőrinci is a small town in northern Hungary known for its industrial background and location within Heves County.
  • A. Lőcse
    Lőcse is a historic town in present-day Slovakia, renowned for its well-preserved medieval center and significant role in the history of Upper Hungary.
  • B. Zólyom
    Zólyom is the historical Hungarian name for the Slovak town of Zvolen, an important medieval center in central Slovakia.
  • C. Rozsnyó
    Rozsnyó is a historic town in present-day Slovakia, known for its medieval center and long-standing cultural significance within the Felvidék (Upper Hungary) region.
  • D. Szentlőrinc
    Szentlőrinc is a small town in southern Hungary known for its agricultural surroundings and role as a local service and transport hub in Baranya County.
  • E. Lőrinc
    Lőrinc is the Hungarian given name equivalent to Laurentius (Lawrence), traditionally used as a male first name in Hungary.
  • 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_69d81c67ba6c819091935650dfb3b895 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de5686f51c81908c33143ecbaae83d completed April 14, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd09db51c8190ab275e68b1aec120 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd340e25881908c2ff61a40da2e7a completed May 7, 2026, 6 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3fe5f5081909291e8b9af77ee33 completed May 7, 2026, 6:03 p.m.
Created at: April 9, 2026, 10:21 p.m.