Triple

T886443
Position Surface form Disambiguated ID Type / Status
Subject Mount Olympus E19140 entity
Predicate hasPeak P8205 FINISHED
Object Skolio
Skolio is one of the principal summits of Greece’s Mount Olympus, known as its second-highest peak.
 E105786 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: Skolio | Statement: [Mount Olympus, hasPeak, Skolio]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Skolio
Context triple: [Mount Olympus, hasPeak, Skolio]
  • A. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • B. SCEL
    SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
  • C. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Loscy
    Loscy is the nickname of Jim Loscutoff, a former Boston Celtics forward known for his rugged defense and contribution to multiple NBA championships in the 1950s and 1960s.
  • 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: Skolio
Triple: [Mount Olympus, hasPeak, Skolio]
Generated description
Skolio is one of the principal summits of Greece’s Mount Olympus, known as its second-highest peak.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Skolio
Target entity description: Skolio is one of the principal summits of Greece’s Mount Olympus, known as its second-highest peak.
  • A. Schievelbein
    Schievelbein is a historic town in Pomerania, now known as Świdwin in northwestern Poland.
  • B. SCEL
    SCEL is the ICAO airport code for Comodoro Arturo Merino Benítez International Airport, the main international gateway serving Santiago, Chile.
  • C. Sark
    Sark is a small, car-free island in the English Channel known for its rugged coastline, traditional feudal-style governance history, and designation as a Dark Sky Island.
  • D. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • E. Loscy
    Loscy is the nickname of Jim Loscutoff, a former Boston Celtics forward known for his rugged defense and contribution to multiple NBA championships in the 1950s and 1960s.
  • 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_69a4939c32488190a7ccd41cf0abb22b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ace714ec81909b0b1deaeac66be5 completed March 1, 2026, 9:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7c021732c8190a3b4020f8e3cb90e completed March 4, 2026, 5:16 a.m.
NEDg Description generation batch_69a7c0f4bd348190a5c258650a92958a completed March 4, 2026, 5:19 a.m.
NED2 Entity disambiguation (via description) batch_69a7c206d5c481908f45fcf9b94eec14 completed March 4, 2026, 5:24 a.m.
Created at: March 1, 2026, 7:39 p.m.