Triple

T5815689
Position Surface form Disambiguated ID Type / Status
Subject Mount Grammos E128979 entity
Predicate hasHighestPointName P1674 FINISHED
Object Tsouka Petsik
Tsouka Petsik is the highest peak of Mount Grammos, a prominent mountain on the border between Greece and Albania.
 E546651 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: Tsouka Petsik | Statement: [Mount Grammos, hasHighestPointName, Tsouka Petsik]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tsouka Petsik
Context triple: [Mount Grammos, hasHighestPointName, Tsouka Petsik]
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Tavuki
    Tavuki is a coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and surrounding natural beauty.
  • C. Michi
    Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
  • D. Mytikas
    Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
  • E. Bonek
    Bonek is the passionate and famously fervent supporter group of the Indonesian football club Persebaya Surabaya.
  • 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: Tsouka Petsik
Triple: [Mount Grammos, hasHighestPointName, Tsouka Petsik]
Generated description
Tsouka Petsik is the highest peak of Mount Grammos, a prominent mountain on the border between Greece and Albania.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tsouka Petsik
Target entity description: Tsouka Petsik is the highest peak of Mount Grammos, a prominent mountain on the border between Greece and Albania.
  • A. Petkum
    Petkum is a district of the city of Emden in Lower Saxony, Germany, situated along the River Ems.
  • B. Tavuki
    Tavuki is a coastal village located on Kadavu Island in Fiji, known for its traditional Fijian community and surrounding natural beauty.
  • C. Michi
    Michi is a diminutive or affectionate nickname commonly used for the given name Michiel.
  • D. Mytikas
    Mytikas is the highest summit of Mount Olympus in Greece, renowned as the country's tallest peak and a prominent destination for hikers and climbers.
  • E. Bonek
    Bonek is the passionate and famously fervent supporter group of the Indonesian football club Persebaya Surabaya.
  • 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_69c0084869e881908d7859492183ca7b completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c0336344148190bcf417c0b9617cb9 completed March 22, 2026, 6:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0984c5f14819096dfabce4a83e332 completed March 23, 2026, 1:33 a.m.
NEDg Description generation batch_69c098d936d081909d930fc8b6b3fd67 completed March 23, 2026, 1:35 a.m.
NED2 Entity disambiguation (via description) batch_69c09943deec819085992c4e44050a34 completed March 23, 2026, 1:37 a.m.
Created at: March 22, 2026, 3:53 p.m.