Triple

T4744167
Position Surface form Disambiguated ID Type / Status
Subject Mount Pangaion E105318 entity
Predicate hasPeak P8205 FINISHED
Object Avgo
Avgo is a notable summit of Mount Pangaion in northern Greece, known for its rugged terrain and scenic views.
 E465776 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: Avgo | Statement: [Mount Pangaion, hasPeak, Avgo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Avgo
Context triple: [Mount Pangaion, hasPeak, Avgo]
  • A. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • B. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • C. Anput
    Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
  • D. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • E. Azog
    Azog is a fearsome pale orc chieftain and primary antagonist in Peter Jackson’s Hobbit film trilogy, relentlessly hunting Thorin Oakenshield and his company.
  • 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: Avgo
Triple: [Mount Pangaion, hasPeak, Avgo]
Generated description
Avgo is a notable summit of Mount Pangaion in northern Greece, known for its rugged terrain and scenic views.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Avgo
Target entity description: Avgo is a notable summit of Mount Pangaion in northern Greece, known for its rugged terrain and scenic views.
  • A. Avisio
    Avisio is a river in northern Italy that flows through the Trentino region before joining the Adige.
  • B. Musina
    Musina is a northern South African town in Limpopo Province, known as a key border and transport hub near Zimbabwe and for its history of copper and iron ore mining.
  • C. Anput
    Anput is an ancient Egyptian goddess associated with funerary rites and protection, often depicted as a female counterpart to the jackal-headed god Anubis.
  • D. ÁVH
    ÁVH was the secret police and state security organization of communist Hungary, notorious for its role in political repression and surveillance during the early Cold War era.
  • E. Azog
    Azog is a fearsome pale orc chieftain and primary antagonist in Peter Jackson’s Hobbit film trilogy, relentlessly hunting Thorin Oakenshield and his company.
  • 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_69bd43ef87a48190a5bc3600711aa032 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd64aa72c0819082ede0f531d75e65 completed March 20, 2026, 3:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69be3a37a77881909d32027f1ada99c5 completed March 21, 2026, 6:27 a.m.
NEDg Description generation batch_69be3b11371081908c028d7a1376f473 completed March 21, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69be3b8c77f88190aac16b6941fb5df7 completed March 21, 2026, 6:32 a.m.
Created at: March 20, 2026, 1:19 p.m.