Triple

T3209424
Position Surface form Disambiguated ID Type / Status
Subject Kano State E67242 entity
Predicate hasMajorCity P316 FINISHED
Object Kura
Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
 E338631 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: Kura | Statement: [Kano State, hasMajorCity, Kura]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kura
Context triple: [Kano State, hasMajorCity, Kura]
  • A. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • B. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • C. Kawa
    Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Riaba
    Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
  • 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: Kura
Triple: [Kano State, hasMajorCity, Kura]
Generated description
Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kura
Target entity description: Kura is a town and local government area in northern Nigeria’s Kano State, known primarily for its role in regional agriculture and trade.
  • A. Kura
    Kura is a major river in the South Caucasus that flows through Turkey, Georgia, and Azerbaijan before emptying into the Caspian Sea.
  • B. Kaw
    The Kaw, also known as the Kansa, are a Native American tribe originally from the central Midwestern United States, particularly the region that is now Kansas.
  • C. Kawa
    Kawa is a programming language framework that compiles Scheme and other high-level languages to Java bytecode for execution on the Java Virtual Machine.
  • D. Tamana
    Tamana is one of the southernmost coral atolls of Kiribati, known for its small size, traditional I-Kiribati culture, and remote Pacific Ocean location.
  • E. Riaba
    Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
  • 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_69ad858ac36c81909962589cd277d6e2 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaab701c48190b91404ab416f7ce3 completed March 8, 2026, 4:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2622d4e988190a8a98a0bc9353e3f completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c2b3e88190bdfb33f12c318c70 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b2689419808190adb9b69bf3185daf completed March 12, 2026, 7:17 a.m.
Created at: March 8, 2026, 3:07 p.m.