Triple

T15428521
Position Surface form Disambiguated ID Type / Status
Subject Madhesh Province E369573 entity
Predicate containsCity P294 FINISHED
Object Karaiyamai
Karaiyamai is a locality situated within Madhesh Province in southeastern Nepal.
 E1171718 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: Karaiyamai | Statement: [Madhesh Province, containsCity, Karaiyamai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Karaiyamai
Context triple: [Madhesh Province, containsCity, Karaiyamai]
  • A. Kamayurá
    Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
  • B. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • C. Karekari
    Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
  • D. Kamiari-sai
    Kamiari-sai is a major Shinto festival held in Izumo, Japan, during which it is believed that all the gods from across the country gather at Izumo Taisha Shrine for an annual divine assembly.
  • E. Katameya
    Katameya is an upscale residential and commercial district on the eastern outskirts of Cairo, Egypt, known for its gated communities, golf courses, and modern developments.
  • 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: Karaiyamai
Triple: [Madhesh Province, containsCity, Karaiyamai]
Generated description
Karaiyamai is a locality situated within Madhesh Province in southeastern Nepal.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Karaiyamai
Target entity description: Karaiyamai is a locality situated within Madhesh Province in southeastern Nepal.
  • A. Kamayurá
    Kamayurá is an indigenous people of Brazil’s Upper Xingu region, known for their distinct Tupi–Guaraní language and rich ceremonial and ritual traditions.
  • B. Kamenari
    Kamenari is a small coastal village in Montenegro known for its ferry crossing and scenic location on the Bay of Kotor.
  • C. Karekari
    Karekari is an alternative name for Karekare, a coastal settlement in West Auckland, New Zealand, known for its rugged black-sand surf beach and dramatic landscapes.
  • D. Kamiari-sai
    Kamiari-sai is a major Shinto festival held in Izumo, Japan, during which it is believed that all the gods from across the country gather at Izumo Taisha Shrine for an annual divine assembly.
  • E. Katameya
    Katameya is an upscale residential and commercial district on the eastern outskirts of Cairo, Egypt, known for its gated communities, golf courses, and modern developments.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec31f4881908b26ff7c381d7bc9 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff6ec4e868819092739e71118d43b0 completed May 9, 2026, 5:28 p.m.
NEDg Description generation batch_69ff72a0d92c81909a3ae6e5ef81bbe8 completed May 9, 2026, 5:45 p.m.
NED2 Entity disambiguation (via description) batch_69ff730ca26c8190b6b2999926600e88 completed May 9, 2026, 5:46 p.m.
Created at: April 10, 2026, 3:20 a.m.