Triple

T8927569
Position Surface form Disambiguated ID Type / Status
Subject Seattle Streetcar E212573 entity
Predicate rollingStockManufacturer P27543 FINISHED
Object Inekon
Inekon is a Czech company known for designing and manufacturing modern trams and streetcars used in cities around the world.
 E766101 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: Inekon | Statement: [Seattle Streetcar, rollingStockManufacturer, Inekon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Inekon
Context triple: [Seattle Streetcar, rollingStockManufacturer, Inekon]
  • A. Essentuki
    Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
  • B. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • D. Narkomzem
    Narkomzem was the Soviet government body responsible for overseeing and managing agricultural policy and production in the USSR.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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: Inekon
Triple: [Seattle Streetcar, rollingStockManufacturer, Inekon]
Generated description
Inekon is a Czech company known for designing and manufacturing modern trams and streetcars used in cities around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Inekon
Target entity description: Inekon is a Czech company known for designing and manufacturing modern trams and streetcars used in cities around the world.
  • A. Essentuki
    Essentuki is a Russian spa town in the North Caucasus renowned for its mineral springs and health resorts.
  • B. Eichig
    Eichig is a small locality that forms part of the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
  • C. Ifo
    Ifo is a town in Ogun State, southwestern Nigeria, known as a historically significant Awori settlement and an important local commercial center.
  • D. Narkomzem
    Narkomzem was the Soviet government body responsible for overseeing and managing agricultural policy and production in the USSR.
  • E. Nuska
    Nuska is a Mesopotamian god of fire and light, often serving as a divine vizier and attendant to major deities in the Sumerian and Akkadian pantheons.
  • 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_69ca8395c438819087d7cb844ab5990c completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6672af10819084a6e50f0302f732 completed April 1, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfba5e887c8190851f2fb533653c6e completed April 3, 2026, 1:02 p.m.
NEDg Description generation batch_69cfbab0b0048190a0ad002787dddffa completed April 3, 2026, 1:03 p.m.
NED2 Entity disambiguation (via description) batch_69cfbb4f1f6881908ec9e419d175d044 completed April 3, 2026, 1:06 p.m.
Created at: March 30, 2026, 6:57 p.m.