Triple

T12539745
Position Surface form Disambiguated ID Type / Status
Subject Newmarket railway station E299804 entity
Predicate stationCode P1289 FINISHED
Object NMK
NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
 E989134 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: NMK | Statement: [Newmarket railway station, stationCode, NMK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NMK
Context triple: [Newmarket railway station, stationCode, NMK]
  • A. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • B. NIK
    NIK is the Polish acronym for the Supreme Audit Office, Poland’s highest independent state audit institution responsible for overseeing public finances and government operations.
  • C. NMB
    NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • D. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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: NMK
Triple: [Newmarket railway station, stationCode, NMK]
Generated description
NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NMK
Target entity description: NMK is the National Rail station code for Newmarket railway station in Suffolk, England.
  • A. KMK
    KMK is the central coordinating body of Germany’s state education and cultural ministers, responsible for harmonizing policies across the federal states.
  • B. NIK
    NIK is the Polish acronym for the Supreme Audit Office, Poland’s highest independent state audit institution responsible for overseeing public finances and government operations.
  • C. NMB
    NMB is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • D. Nmnl
    Nmnl is the standard railway station code used to identify Nijmegen Lent railway station in the Netherlands.
  • E. NK
    NK is the two-letter IATA airline designator assigned to Spirit Airlines, a U.S.-based ultra-low-cost carrier.
  • 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_69d6ada707008190aaec1238117c9379 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9546fc620819093335988dbab3256 completed April 10, 2026, 7:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6557cb180819083ee10708320199e completed May 2, 2026, 7:50 p.m.
NEDg Description generation batch_69f6566e7bf88190a33c609caf9b4f3d completed May 2, 2026, 7:54 p.m.
NED2 Entity disambiguation (via description) batch_69f657aa1bf48190a884e0dfce31e30e completed May 2, 2026, 7:59 p.m.
Created at: April 8, 2026, 9:57 p.m.