Triple

T1740441
Position Surface form Disambiguated ID Type / Status
Subject Simien Mountains E38219 entity
Predicate viewpoint P1101 FINISHED
Object Imet Gogo
Imet Gogo is a renowned scenic lookout in Ethiopia’s Simien Mountains, famous for its dramatic cliffs, sweeping highland vistas, and opportunities to spot endemic wildlife.
 E192981 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: Imet Gogo | Statement: [Simien Mountains, viewpoint, Imet Gogo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Imet Gogo
Context triple: [Simien Mountains, viewpoint, Imet Gogo]
  • A. Ikemba Iweala
    Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • B. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • C. Ben Ime
    Ben Ime is a prominent mountain in the Arrochar Alps of the Scottish Highlands, known for its rugged slopes and popular hiking routes near Loch Lomond.
  • D. Boyega
    Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
  • E. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • 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: Imet Gogo
Triple: [Simien Mountains, viewpoint, Imet Gogo]
Generated description
Imet Gogo is a renowned scenic lookout in Ethiopia’s Simien Mountains, famous for its dramatic cliffs, sweeping highland vistas, and opportunities to spot endemic wildlife.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Imet Gogo
Target entity description: Imet Gogo is a renowned scenic lookout in Ethiopia’s Simien Mountains, famous for its dramatic cliffs, sweeping highland vistas, and opportunities to spot endemic wildlife.
  • A. Ikemba Iweala
    Ikemba Iweala is a Nigerian neurosurgeon and the husband of economist and World Trade Organization Director-General Ngozi Okonjo-Iweala.
  • B. Lemi
    Lemi is a small rural municipality in southeastern Finland known for its lakes, forests, and traditional Karelian culture.
  • C. Ben Ime
    Ben Ime is a prominent mountain in the Arrochar Alps of the Scottish Highlands, known for its rugged slopes and popular hiking routes near Loch Lomond.
  • D. Boyega
    Boyega is the surname of British actor and producer John Boyega, best known for his role as Finn in the Star Wars sequel trilogy.
  • E. Joyo
    Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
  • 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_69a8862b01a48190ab47209063af82d9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa63c5ab648190bceae2a19fa18e87 completed March 6, 2026, 5:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad8b060d64819096ba0522ccce9145 completed March 8, 2026, 2:43 p.m.
NEDg Description generation batch_69ad957f64c48190862a701a94098bbf completed March 8, 2026, 3:27 p.m.
NED2 Entity disambiguation (via description) batch_69ad97b974708190adfffebee41a6fcd completed March 8, 2026, 3:37 p.m.
Created at: March 4, 2026, 7:30 p.m.