Triple

T3124052
Position Surface form Disambiguated ID Type / Status
Subject Zaria E65252 entity
Predicate hasPart P35 FINISHED
Object Samara
Samara is a city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
 E466325 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: Samara | Statement: [Zaria, hasPart, Samara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samara
Context triple: [Zaria, hasPart, Samara]
  • A. Samara
    Samara is a design-focused housing and urban innovation company co-founded by Airbnb’s Joe Gebbia to explore new forms of living and community.
  • B. Samara
    Samara is a major Russian city on the Volga River known as an important industrial, cultural, and transportation hub.
  • C. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • D. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • E. Novocherkassk
    Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative center.
  • 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: Samara
Triple: [Zaria, hasPart, Samara]
Generated description
Samara is a city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samara
Target entity description: Samara is a city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
  • A. Samara
    Samara is a major Russian city on the Volga River known as an important industrial, cultural, and transportation hub.
  • B. Samara
    Samara is a design-focused housing and urban innovation company co-founded by Airbnb’s Joe Gebbia to explore new forms of living and community.
  • C. Kazan
    Kazan is a major city in western Russia and the capital of the Republic of Tatarstan, known for its rich Tatar-Russian cultural heritage and historic Kremlin.
  • D. Ufa
    Ufa is the capital and largest city of the Republic of Bashkortostan in Russia, known as a major industrial, cultural, and economic center in the Ural region.
  • E. Novocherkassk
    Novocherkassk is a historic city in Russia’s Rostov Oblast that served as a key Cossack and military administrative center.
  • 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_69ad8580c72481909672d37acf647893 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada52d856c8190a5d65b8a6452be21 completed March 8, 2026, 4:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69be393b31e081908b585a88a35d4c39 completed March 21, 2026, 6:22 a.m.
NEDg Description generation batch_69be3adc766c8190ae5cbe5be14b720a completed March 21, 2026, 6:29 a.m.
NED2 Entity disambiguation (via description) batch_69be3b645aac8190a6765f0679dd3735 completed March 21, 2026, 6:32 a.m.
Created at: March 8, 2026, 3:04 p.m.