Triple

T20655842
Position Surface form Disambiguated ID Type / Status
Subject Požega E507623 entity
Predicate nearMountain P31783 FINISHED
Object Papuk
Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
E1443369 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: Papuk | Statement: [Požega, nearMountain, Papuk]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Papuk
Context triple: [Požega, nearMountain, Papuk]
  • A. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • B. Poronaysk
    Poronaysk is a small town on the eastern coast of Sakhalin Island in Russia, situated along the Poronay River and serving as an administrative and fishing center.
  • C. Kopanka
    Kopanka is a village located in Rawa County in central Poland.
  • D. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • E. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • 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: Papuk
Triple: [Požega, nearMountain, Papuk]
Generated description
Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Papuk
Target entity description: Papuk is a mountain in eastern Croatia known for its forested slopes, geological diversity, and status as a nature park and UNESCO Geopark.
  • A. Kopaska
    Kopaska is the Indonesian Navy’s elite frogman and special operations unit, specializing in underwater demolition, maritime sabotage, and counter-terrorism missions.
  • B. Poronaysk
    Poronaysk is a small town on the eastern coast of Sakhalin Island in Russia, situated along the Poronay River and serving as an administrative and fishing center.
  • C. Kopanka
    Kopanka is a village located in Rawa County in central Poland.
  • D. Tapolca
    Tapolca is a small Hungarian town in the Transdanubian region, known for its scenic karst landscape and the famous Tapolca Lake Cave.
  • E. Jaru
    Jaru is a municipality in the Brazilian state of Rondônia, located in the northern region of the country within the Amazon basin.
  • 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_69e0b4bf58c081908e52a4500e03ff83 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b2ed48308190b9350a323b9a7952 completed April 20, 2026, 11:12 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c5999180819091f3f1255b490150 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c6b3abf881909c9cb0e6ec85b84f completed May 16, 2026, 7:34 p.m.
NED2 Entity disambiguation (via description) batch_6a08c778429081909235b628ba07d574 completed May 16, 2026, 7:37 p.m.
Created at: April 16, 2026, 11:43 a.m.