Triple

T14717168
Position Surface form Disambiguated ID Type / Status
Subject Eggon E345710 entity
Predicate hasEthnonym P1435 FINISHED
Object Hill Mada
Hill Mada is an ethnonym referring to a subgroup or community within the Eggon people of central Nigeria.
E1116308 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: Hill Mada | Statement: [Eggon, hasEthnonym, Hill Mada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hill Mada
Context triple: [Eggon, hasEthnonym, Hill Mada]
  • A. Mengo Hill
    Mengo Hill is one of the historic hills of Kampala, Uganda, known as a traditional political and cultural center of the Buganda Kingdom.
  • B. Murahwa Hill
    Murahwa Hill is a prominent historical and archaeological site near Mutare, Zimbabwe, known for its ancient rock shelters, rock art, and cultural significance to local communities.
  • C. Deolo Hill
    Deolo Hill is a popular scenic viewpoint in Kalimpong, West Bengal, known for its landscaped park, panoramic Himalayan vistas, and sunrise and sunset views.
  • D. Kunila Hill
    Kunila Hill is the highest elevation point on the Estonian island of Naissaar.
  • E. Manghopir Hills
    Manghopir Hills are a rugged, arid hill range on the outskirts of Karachi, Pakistan, known for their rocky terrain and proximity to the historic Manghopir shrine and crocodile-inhabited hot springs.
  • 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: Hill Mada
Triple: [Eggon, hasEthnonym, Hill Mada]
Generated description
Hill Mada is an ethnonym referring to a subgroup or community within the Eggon people of central Nigeria.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hill Mada
Target entity description: Hill Mada is an ethnonym referring to a subgroup or community within the Eggon people of central Nigeria.
  • A. Mengo Hill
    Mengo Hill is one of the historic hills of Kampala, Uganda, known as a traditional political and cultural center of the Buganda Kingdom.
  • B. Murahwa Hill
    Murahwa Hill is a prominent historical and archaeological site near Mutare, Zimbabwe, known for its ancient rock shelters, rock art, and cultural significance to local communities.
  • C. Deolo Hill
    Deolo Hill is a popular scenic viewpoint in Kalimpong, West Bengal, known for its landscaped park, panoramic Himalayan vistas, and sunrise and sunset views.
  • D. Kunila Hill
    Kunila Hill is the highest elevation point on the Estonian island of Naissaar.
  • E. Manghopir Hills
    Manghopir Hills are a rugged, arid hill range on the outskirts of Karachi, Pakistan, known for their rocky terrain and proximity to the historic Manghopir shrine and crocodile-inhabited hot springs.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2a63cc88190b3670378c54c96b6 completed May 8, 2026, 2:26 p.m.
NED2 Entity disambiguation (via description) batch_69fdf31fcb4081908a88cf4d4c5ddced completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:29 a.m.