Triple

T19379784
Position Surface form Disambiguated ID Type / Status
Subject Skewen railway station E484767 entity
Predicate stationCode P1289 FINISHED
Object SKE
SKE is the National Rail station code for Skewen railway station in Neath Port Talbot, Wales.
 E1372469 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: SKE | Statement: [Skewen railway station, stationCode, SKE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SKE
Context triple: [Skewen railway station, stationCode, SKE]
  • A. Ske
    Ske is an Oceanic language spoken by indigenous communities on Pentecost Island in Vanuatu.
  • B. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • C. SKO
    SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
  • D. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • E. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • 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: SKE
Triple: [Skewen railway station, stationCode, SKE]
Generated description
SKE is the National Rail station code for Skewen railway station in Neath Port Talbot, Wales.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SKE
Target entity description: SKE is the National Rail station code for Skewen railway station in Neath Port Talbot, Wales.
  • A. Ske
    Ske is an Oceanic language spoken by indigenous communities on Pentecost Island in Vanuatu.
  • B. SKO
    SKO is the abbreviation for the Saito Kinen Orchestra, a renowned Japanese classical ensemble founded by conductor Seiji Ozawa in honor of his teacher Hideo Saito.
  • C. SKO
    SKO is the IATA airport code for Sadiq Abubakar III International Airport serving Sokoto, Nigeria.
  • D. SKW
    SKW is Poland’s Military Counterintelligence Service, responsible for protecting the armed forces and state defense structures from espionage, terrorism, and other security threats.
  • E. SKW
    SKW is the ICAO airline designator used to identify SkyWest Airlines in aviation operations and communications.
  • 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_69d8e8d460d88190abf0591c5c9d2b0c completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e61a5e8e7081908bed3eee1eef4de2 completed April 20, 2026, 12:21 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0724200f348190a3fe582e9e2c5105 completed May 15, 2026, 1:48 p.m.
NEDg Description generation batch_6a072550bf2881909ceb6b91b597762b completed May 15, 2026, 1:53 p.m.
NED2 Entity disambiguation (via description) batch_6a07272e260c8190aa370620d576b830 completed May 15, 2026, 2:01 p.m.
Created at: April 10, 2026, 1:35 p.m.