Triple

T16415717
Position Surface form Disambiguated ID Type / Status
Subject Ulyanovsk E398677 entity
Predicate majorCompany P597 FINISHED
Object UAZ
UAZ is a Russian automobile manufacturer best known for producing rugged off-road vehicles and light utility trucks.
E1211370 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: UAZ | Statement: [Ulyanovsk, majorCompany, UAZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: UAZ
Context triple: [Ulyanovsk, majorCompany, UAZ]
  • A. Lada
    Lada is a Slavic goddess commonly associated with love, beauty, fertility, and the renewal of nature.
  • B. KAMAZ
    KAMAZ is a major Russian truck manufacturer known for producing heavy-duty vehicles and achieving multiple victories in the Dakar Rally.
  • C. GAZ (Gorky Automobile Plant)
    GAZ (Gorky Automobile Plant) is a major Russian automotive manufacturer historically known for producing trucks, buses, and passenger cars, including many iconic Soviet-era vehicles.
  • D. VAZ-2101
    The VAZ-2101 is a Soviet-era compact sedan produced by AvtoVAZ (marketed as the Lada 1200 and its variants), based on the Fiat 124 and widely known as one of the most iconic and ubiquitous cars in the Eastern Bloc.
  • E. Avtovo
    Avtovo is a renowned Saint Petersburg Metro station celebrated for its ornate, palace-like interior and distinctive Soviet-era architectural design.
  • 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: UAZ
Triple: [Ulyanovsk, majorCompany, UAZ]
Generated description
UAZ is a Russian automobile manufacturer best known for producing rugged off-road vehicles and light utility trucks.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: UAZ
Target entity description: UAZ is a Russian automobile manufacturer best known for producing rugged off-road vehicles and light utility trucks.
  • A. Lada
    Lada is a Slavic goddess commonly associated with love, beauty, fertility, and the renewal of nature.
  • B. KAMAZ
    KAMAZ is a major Russian truck manufacturer known for producing heavy-duty vehicles and achieving multiple victories in the Dakar Rally.
  • C. GAZ (Gorky Automobile Plant)
    GAZ (Gorky Automobile Plant) is a major Russian automotive manufacturer historically known for producing trucks, buses, and passenger cars, including many iconic Soviet-era vehicles.
  • D. VAZ-2101
    The VAZ-2101 is a Soviet-era compact sedan produced by AvtoVAZ (marketed as the Lada 1200 and its variants), based on the Fiat 124 and widely known as one of the most iconic and ubiquitous cars in the Eastern Bloc.
  • E. Avtovo
    Avtovo is a renowned Saint Petersburg Metro station celebrated for its ornate, palace-like interior and distinctive Soviet-era architectural design.
  • 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_69d87f2b9024819085c20e52de95d583 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e3287741008190856882b7f34024fc completed April 18, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_6a003c6a89988190a44515f1ca08099f completed May 10, 2026, 8:06 a.m.
NEDg Description generation batch_6a003db7b0308190bc4b8065cf2c01ec completed May 10, 2026, 8:11 a.m.
NED2 Entity disambiguation (via description) batch_6a003e86a9f48190ae39ec170c776604 completed May 10, 2026, 8:15 a.m.
Created at: April 10, 2026, 5:09 a.m.