Triple

T19715724
Position Surface form Disambiguated ID Type / Status
Subject Samara Weaving E473471 entity
Predicate givenName P17 FINISHED
Object Samara
Samara is a city on the Volga River in southwestern Russia, known as a major 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: [Samara Weaving, givenName, Samara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Samara
Context triple: [Samara Weaving, givenName, 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 laid-back beach town on Costa Rica’s Pacific coast, known for its calm bay, palm-lined shoreline, and appeal to surfers and eco-tourists.
  • C. Samara
    Samara is a city in northwestern Nigeria that forms part of the urban area of Zaria in Kaduna State.
  • D. Samara
    Samara is a major Russian city on the Volga River known as an important industrial, cultural, and transportation hub.
  • E. Lesosibirsk
    Lesosibirsk is a town in central Siberia, Russia, known historically as a major timber-processing and river port center on the Yenisei River.
  • 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: [Samara Weaving, givenName, Samara]
Generated description
Samara is a city on the Volga River in southwestern Russia, known as a major 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 city on the Volga River in southwestern Russia, known as a major 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. Samara
    Samara is a laid-back beach town on Costa Rica’s Pacific coast, known for its calm bay, palm-lined shoreline, and appeal to surfers and eco-tourists.
  • E. Lesosibirsk
    Lesosibirsk is a town in central Siberia, Russia, known historically as a major timber-processing and river port center on the Yenisei River.
  • 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_69d8e516dd048190a0b6c93ea3e71f58 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e6440cb47c81908124dfbd6f781d23 completed April 20, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07aba36954819085e53a67388086ab completed May 15, 2026, 11:26 p.m.
NEDg Description generation batch_6a07ae091db48190a68d7744860bcb0e completed May 15, 2026, 11:36 p.m.
NED2 Entity disambiguation (via description) batch_6a07aed8393481908f2bc48a3efc599a completed May 15, 2026, 11:40 p.m.
Created at: April 10, 2026, 1:46 p.m.