Triple

T2270966
Position Surface form Disambiguated ID Type / Status
Subject Moscow tram network E50655 entity
Predicate hasRollingStockManufacturer P4022 FINISHED
Object Pesa
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
 E251764 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: Pesa | Statement: [Moscow tram network, hasRollingStockManufacturer, Pesa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Pesa
Context triple: [Moscow tram network, hasRollingStockManufacturer, Pesa]
  • A. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • B. Pagumen
    Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
  • C. Pansio
    Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
  • D. Rahanweyn
    Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
  • E. Paisas
    Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
  • 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: Pesa
Triple: [Moscow tram network, hasRollingStockManufacturer, Pesa]
Generated description
Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Pesa
Target entity description: Pesa is a Polish manufacturer of rail vehicles, particularly known for producing modern trams and trains used in various European cities.
  • A. Penge
    Penge is a suburban district in southeast London known for its Victorian architecture and proximity to Crystal Palace.
  • B. Pagumen
    Pagumen is the short additional thirteenth month in the Ethiopian calendar used to align the year with the solar cycle.
  • C. Pansio
    Pansio is a coastal district and naval base area in Turku, Finland, known for hosting key facilities of the Finnish Navy.
  • D. Rahanweyn
    Rahanweyn is a major dialect (often considered a distinct variety) of the Somali language spoken primarily by the Rahanweyn clan families in southern Somalia.
  • E. Paisas
    Paisas are a culturally distinct group from Colombia’s Andean region, especially Antioquia, known for their entrepreneurial spirit, coffee-growing heritage, and characteristic Spanish accent.
  • 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_69a88b05910c8190a9a2b1ff230c85f9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc1c0de488190876b644cdaa41637 completed March 7, 2026, 6:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae71d97a108190a26ffd20fac91a7e completed March 9, 2026, 7:08 a.m.
NEDg Description generation batch_69ae73a4bdd08190bb9fff64ffdbeed6 completed March 9, 2026, 7:15 a.m.
NED2 Entity disambiguation (via description) batch_69ae776fdfb48190ae8731002c537458 completed March 9, 2026, 7:32 a.m.
Created at: March 4, 2026, 7:48 p.m.