Triple

T11704060
Position Surface form Disambiguated ID Type / Status
Subject Felvidék E278196 entity
Predicate containsHistoricalCity P43430 FINISHED
Object 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.
E1032948 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: Lőcse | Statement: [Felvidék, containsHistoricalCity, Lőcse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lőcse
Context triple: [Felvidék, containsHistoricalCity, Lőcse]
  • A. Derecske
    Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
  • B. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • C. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • D. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • E. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • 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: Lőcse
Triple: [Felvidék, containsHistoricalCity, Lőcse]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lőcse
Target entity description: 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.
  • A. Derecske
    Derecske is a small town in eastern Hungary located within Hajdú-Bihar County, known for its agricultural surroundings and local rural character.
  • B. Bodrogköz
    Bodrogköz is a low-lying, marshy region in northeastern Hungary known for its riverine landscapes, wetlands, and traditional rural settlements.
  • C. Egerszalók
    Egerszalók is a Hungarian village famous for its thermal springs and striking terraced salt hill spa complex.
  • D. Bonyhád
    Bonyhád is a town in southern Hungary known as an important local center within Tolna County.
  • E. Nagykőrös
    Nagykőrös is a historic town in central Hungary known for its agricultural traditions and small-town character.
  • 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_69d6aaff2ce88190b4a1e4b341ad5377 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a49b1080819096593733ee48a187 completed April 10, 2026, 7:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69f716adaed081909a6c026f9e232381 completed May 3, 2026, 9:34 a.m.
NEDg Description generation batch_69f717b7b6dc8190ab323c1926dd9adb completed May 3, 2026, 9:39 a.m.
NED2 Entity disambiguation (via description) batch_69f7186b6218819096c67e9dd9af609f completed May 3, 2026, 9:42 a.m.
Created at: April 8, 2026, 9:40 p.m.