Triple

T17727867
Position Surface form Disambiguated ID Type / Status
Subject Kysucké Beskydy E442511 entity
Predicate hasPeak P8205 FINISHED
Object Magura
Magura is a mountain peak in the Kysucké Beskydy range of northern Slovakia, known for its forested slopes and scenic hiking routes.
 E1283701 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: Magura | Statement: [Kysucké Beskydy, hasPeak, Magura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Magura
Context triple: [Kysucké Beskydy, hasPeak, Magura]
  • A. Magura
    Magura is a town and district headquarters in southwestern Bangladesh known for its agricultural surroundings and location within the Khulna Division.
  • B. Koyo
    Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
  • C. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • D. Miura
    Miura is a coastal city on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its fishing industry, beaches, and scenic ocean views.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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: Magura
Triple: [Kysucké Beskydy, hasPeak, Magura]
Generated description
Magura is a mountain peak in the Kysucké Beskydy range of northern Slovakia, known for its forested slopes and scenic hiking routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Magura
Target entity description: Magura is a mountain peak in the Kysucké Beskydy range of northern Slovakia, known for its forested slopes and scenic hiking routes.
  • A. Magura
    Magura is a town and district headquarters in southwestern Bangladesh known for its agricultural surroundings and location within the Khulna Division.
  • B. Koyo
    Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
  • C. Mibuchi
    Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
  • D. Miura
    Miura is a coastal city on the Miura Peninsula in Kanagawa Prefecture, Japan, known for its fishing industry, beaches, and scenic ocean views.
  • E. Yabu
    Yabu is a small city in northern Hyōgo Prefecture, Japan, known for its rural landscapes, hot springs, and access to mountainous outdoor recreation.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e478e3cb708190b47456ad2008a65e completed April 19, 2026, 6:40 a.m.
NED1 Entity disambiguation (via context triple) batch_6a023034858881908c09acc78839e5d9 completed May 11, 2026, 7:38 p.m.
NEDg Description generation batch_6a0230f2f4c88190ab54ae494c63e223 completed May 11, 2026, 7:41 p.m.
NED2 Entity disambiguation (via description) batch_6a0231667fd481908663a447670a9a0e completed May 11, 2026, 7:43 p.m.
Created at: April 10, 2026, 10:07 a.m.