Triple

T3053868
Position Surface form Disambiguated ID Type / Status
Subject Maiduguri E60433 entity
Predicate roadConnection P385 FINISHED
Object Biu
Biu is a town in northeastern Nigeria that serves as a local commercial and administrative center in Borno State.
E321866 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: Biu | Statement: [Maiduguri, roadConnection, Biu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Biu
Context triple: [Maiduguri, roadConnection, Biu]
  • A. Bia
    Bia is the Greek personification of force and raw power, often depicted as a minor deity serving Zeus in ancient mythology.
  • B. Binga
    Binga is a town and district in northwestern Zimbabwe known for its location on the southern shores of Lake Kariba and its association with the Tonga people.
  • C. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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: Biu
Triple: [Maiduguri, roadConnection, Biu]
Generated description
Biu is a town in northeastern Nigeria that serves as a local commercial and administrative center in Borno State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Biu
Target entity description: Biu is a town in northeastern Nigeria that serves as a local commercial and administrative center in Borno State.
  • A. Bia
    Bia is the Greek personification of force and raw power, often depicted as a minor deity serving Zeus in ancient mythology.
  • B. Binga
    Binga is a town and district in northwestern Zimbabwe known for its location on the southern shores of Lake Kariba and its association with the Tonga people.
  • C. Beni
    Beni is a town in western Nepal that serves as a gateway to the Dhaulagiri and Annapurna mountain regions.
  • D. Beni
    Beni is a sparsely populated, largely Amazonian department in northeastern Bolivia known for its tropical lowlands, cattle ranching, and rich indigenous cultures.
  • E. Beni
    Beni is a city in the eastern Democratic Republic of the Congo that became internationally known as a major hotspot of conflict and public health crises, including serving as the epicenter of the 2018–2020 Kivu Ebola epidemic.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f062abf48190ab891463c5b33622 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.