Triple

T2907712
Position Surface form Disambiguated ID Type / Status
Subject Minna E63605 entity
Predicate roadConnection P385 FINISHED
Object Bida
Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
 E309409 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: Bida | Statement: [Minna, roadConnection, Bida]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Bida
Context triple: [Minna, roadConnection, Bida]
  • A. Buin
    Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
  • B. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • C. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • E. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • 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: Bida
Triple: [Minna, roadConnection, Bida]
Generated description
Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Bida
Target entity description: Bida is a prominent town in Niger State, central Nigeria, known as a commercial and cultural hub of the Nupe people.
  • A. Buin
    Buin is a Chilean town and commune located south of Santiago, known for its agricultural activity and the Buin Zoo.
  • B. Bara
    Bara is a town in Pakistan’s Khyber District, known as a key settlement in the Khyber Pass region with strategic and commercial significance.
  • C. Bago
    Bago is a component city in the province of Negros Occidental in the Philippines, known for its agricultural economy and historical significance.
  • D. Qardaha
    Qardaha is a town in northwestern Syria best known as the ancestral home of the Assad family, which has dominated the country’s political leadership for decades.
  • E. Alamata
    Alamata is a town in northern Ethiopia that serves as a local commercial and administrative center in the southern part of the Tigray Region.
  • 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_69ab4c44ab448190b9411324e8a1fc1d completed March 6, 2026, 9:51 p.m.
NER Named-entity recognition batch_69abe0d1dcf881909b3ae58d7cdfd9cd completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b056173a988190be02619d909cdb25 completed March 10, 2026, 5:34 p.m.
NEDg Description generation batch_69b05f640afc8190bf9b5b90ff7c9b0e completed March 10, 2026, 6:13 p.m.
NED2 Entity disambiguation (via description) batch_69b06010c1948190a2e13084a79b106b completed March 10, 2026, 6:16 p.m.
Created at: March 6, 2026, 10:11 p.m.