Triple

T20498191
Position Surface form Disambiguated ID Type / Status
Subject Enkhuizen railway station E503227 entity
Predicate hasStationCode P1289 FINISHED
Object EKZ
EKZ is the station code for Enkhuizen railway station in the Netherlands.
E1434112 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: EKZ | Statement: [Enkhuizen railway station, hasStationCode, EKZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: EKZ
Context triple: [Enkhuizen railway station, hasStationCode, EKZ]
  • A. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • B. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • C. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • D. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • E. EZE
    EZE is the ICAO airline designator assigned to Eastern Airways, a British regional airline.
  • 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: EKZ
Triple: [Enkhuizen railway station, hasStationCode, EKZ]
Generated description
EKZ is the station code for Enkhuizen railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: EKZ
Target entity description: EKZ is the station code for Enkhuizen railway station in the Netherlands.
  • A. Ek
    Ek is a Swedish surname borne by several notable figures, including politicians and entrepreneurs.
  • B. EK
    EK was the New York Stock Exchange ticker symbol for Eastman Kodak Company, the historic American photography and imaging corporation.
  • C. EK
    EK is the commonly used abbreviation for the First Chamber of the Austrian Parliament (Erste Kammer).
  • D. EZE
    EZE is the IATA airport code for Ministro Pistarini International Airport, the main international gateway serving Buenos Aires, Argentina.
  • E. EZE
    EZE is the ICAO airline designator assigned to Eastern Airways, a British regional airline.
  • 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_69e0b4b1e52c8190894281cf7e3283ab completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69cbff210819089900e9a35911f48 completed April 20, 2026, 9:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0893bd1c508190bbba38fb36650723 completed May 16, 2026, 3:56 p.m.
NEDg Description generation batch_6a0894634f748190ae0a3be77125bf03 completed May 16, 2026, 3:59 p.m.
NED2 Entity disambiguation (via description) batch_6a08958072d08190a0e4ba12c7e550ea completed May 16, 2026, 4:04 p.m.
Created at: April 16, 2026, 11:35 a.m.