Triple

T14774215
Position Surface form Disambiguated ID Type / Status
Subject Skierniewice E347212 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ESK
ESK is the vehicle registration code assigned to cars registered in Skierniewice, a city in central Poland.
E1119517 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: ESK | Statement: [Skierniewice, vehicleRegistrationCode, ESK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ESK
Context triple: [Skierniewice, vehicleRegistrationCode, ESK]
  • A. Esk
    Esk is a small rural town in South East Queensland, Australia, known for serving as a local service hub for surrounding farming communities and for its proximity to Lake Wivenhoe and the Brisbane Valley rail trail.
  • B. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • C. ESVK
    ESVK is a German ice hockey club based in Kaufbeuren, Bavaria, competing in the national league system.
  • D. Esks
    Esks is an informal former nickname for the Canadian Football League team now known as the Edmonton Elks.
  • E. Esv
    Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
  • 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: ESK
Triple: [Skierniewice, vehicleRegistrationCode, ESK]
Generated description
ESK is the vehicle registration code assigned to cars registered in Skierniewice, a city in central Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ESK
Target entity description: ESK is the vehicle registration code assigned to cars registered in Skierniewice, a city in central Poland.
  • A. Esk
    Esk is a small rural town in South East Queensland, Australia, known for serving as a local service hub for surrounding farming communities and for its proximity to Lake Wivenhoe and the Brisbane Valley rail trail.
  • B. ESKN
    ESKN is the stock ticker symbol for Esken Limited, a UK-based infrastructure and aviation services company.
  • C. ESVK
    ESVK is a German ice hockey club based in Kaufbeuren, Bavaria, competing in the national league system.
  • D. Esks
    Esks is an informal former nickname for the Canadian Football League team now known as the Edmonton Elks.
  • E. Esv
    Esv is the official Dutch railway station code used to identify Eindhoven Strijp-S station in the Netherlands.
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec815dd5081909e927911c06b2d66 completed April 14, 2026, 11:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe0cfd26fc81909fba39c8705437ed completed May 8, 2026, 4:19 p.m.
NEDg Description generation batch_69fe17fc37ec8190b2e9c786a5e7843e completed May 8, 2026, 5:06 p.m.
NED2 Entity disambiguation (via description) batch_69fe18786294819080ce5ee0d8af00c9 completed May 8, 2026, 5:08 p.m.
Created at: April 10, 2026, 1:31 a.m.