Triple

T2974133
Position Surface form Disambiguated ID Type / Status
Subject Ourea E80352 entity
Predicate hasPart P35 FINISHED
Object Olympus
Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
 E316971 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: Olympus | Statement: [Ourea, hasPart, Olympus]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Olympus
Context triple: [Ourea, hasPart, Olympus]
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Shumshu
    Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
  • C. Oro
    Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
  • D. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • E. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • 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: Olympus
Triple: [Ourea, hasPart, Olympus]
Generated description
Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Olympus
Target entity description: Olympus is the highest and most famous mountain in Greece, revered in Greek mythology as the home of the Olympian gods.
  • A. Canazei
    Canazei is a mountain village and ski resort in the Dolomites of northern Italy, known for winter sports and alpine tourism.
  • B. Shumshu
    Shumshu is a small, strategically significant volcanic island at the northern end of the Kuril Islands chain, near the Kamchatka Peninsula.
  • C. Oro
    Oro is an ethnic group indigenous to Nigeria’s Akwa Ibom State, known for its distinct language and coastal cultural heritage.
  • D. Ōta
    Ōta is a special ward in southern Tokyo, Japan, known for Haneda Airport and its mix of residential, industrial, and coastal areas.
  • E. Syukuro
    Syukuro is the given name of Syukuro Manabe, a pioneering climatologist known for his foundational work on climate modeling and global warming.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9987bb6c8190adfb447b76276962 completed March 8, 2026, 3:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69b108e6a5448190ae32e6d2db8e7248 completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10a9ba2248190b756cb92437f49ec completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10bb131e48190b0982db3a9656ddc completed March 11, 2026, 6:29 a.m.
Created at: March 8, 2026, 2:58 p.m.