Triple

T8478083
Position Surface form Disambiguated ID Type / Status
Subject Mecsek Mountains E200445 entity
Predicate highestPoint P210 FINISHED
Object Zengő
Zengő is a prominent peak in southern Hungary known for its scenic hiking trails and panoramic views over the Mecsek mountain range.
 E735631 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: Zengő | Statement: [Mecsek Mountains, highestPoint, Zengő]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Zengő
Context triple: [Mecsek Mountains, highestPoint, Zengő]
  • A. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • D. Losonczi
    Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
  • E. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • 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: Zengő
Triple: [Mecsek Mountains, highestPoint, Zengő]
Generated description
Zengő is a prominent peak in southern Hungary known for its scenic hiking trails and panoramic views over the Mecsek mountain range.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Zengő
Target entity description: Zengő is a prominent peak in southern Hungary known for its scenic hiking trails and panoramic views over the Mecsek mountain range.
  • A. Zagyva
    Zagyva is a river in northern Hungary that flows through towns such as Salgótarján and Hatvan before joining the Tisza River.
  • B. Enying
    Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
  • C. Somlyó
    Somlyó is a historical locality in the Kingdom of Hungary, best known as the birthplace of Stephen Báthory, who became King of Poland and Grand Duke of Lithuania in the 16th century.
  • D. Losonczi
    Losonczi is a Hungarian surname most notably borne by Pál Losonczi, a former Chairman of the Presidential Council of the Hungarian People's Republic.
  • E. Vizafogó
    Vizafogó is a residential neighborhood in Budapest, Hungary, located along the Danube in the city's 13th district.
  • 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_69ca831b17988190a1f3f3413d57b820 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5216d6481908e25a49bcc2e00cc completed March 31, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce3a196ad48190b3887a2a0c43f87f completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1f6f7c8190927b5e2684ae207b completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3b9d38e081909be10cb209b15427 completed April 2, 2026, 9:49 a.m.
Created at: March 30, 2026, 6:12 p.m.