Triple

T10882510
Position Surface form Disambiguated ID Type / Status
Subject KUF E256959 entity
Predicate locatedNear P294 FINISHED
Object Samara
Samara is a major city on the Volga River in southwestern Russia, known as an important industrial, cultural, and transportation hub.
 E67593 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: [KUF, locatedNear, Samara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samara
Context triple: [KUF, locatedNear, 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 city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
  • C. Samara
    Samara is a major Russian city on the Volga River known as an important industrial, cultural, and transportation hub.
  • D. Lesosibirsk
    Lesosibirsk is a town in central Siberia, Russia, known historically as a major timber-processing and river port center on the Yenisei River.
  • E. 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.
  • 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: [KUF, locatedNear, Samara]
Generated description
Samara is a major city on the Volga River in southwestern Russia, known as an important industrial, cultural, and transportation hub.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Samara
Target entity description: Samara is a major city on the Volga River in southwestern Russia, known as an important industrial, cultural, and transportation hub.
  • A. Samara chosen
    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. Samara
    Samara is a city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
  • D. Lesosibirsk
    Lesosibirsk is a town in central Siberia, Russia, known historically as a major timber-processing and river port center on the Yenisei River.
  • E. 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.
  • F. None of above.

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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751db24208190b3a7ed7eea118522 completed April 9, 2026, 7:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69e2d6d70e90819093ced18f59785ab9 completed April 18, 2026, 12:56 a.m.
NEDg Description generation batch_69e2fab58f588190ae2d33f32e71333b completed April 18, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e317809c0881909e793db965194014 completed April 18, 2026, 5:32 a.m.
Created at: April 8, 2026, 9:21 p.m.