Triple

T12314263
Position Surface form Disambiguated ID Type / Status
Subject South Kenton E293559 entity
Predicate hasStationCode P1289 FINISHED
Object SOK
SOK is the National Rail station code for South Kenton railway station in northwest London.
 E976513 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: SOK | Statement: [South Kenton, hasStationCode, SOK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SOK
Context triple: [South Kenton, hasStationCode, SOK]
  • A. SOK
    SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
  • B. SOKOM
    SOKOM is the Danish Special Operations Command, the unified headquarters responsible for overseeing Denmark’s elite special operations forces.
  • C. SOKO
    SOKO was a Yugoslav aircraft manufacturer known for producing military and training aircraft, including the Soko J-22 Orao attack jet.
  • D. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • E. SOU
    SOU is the three-letter National Rail station code for Southampton Central railway station in Hampshire, England.
  • 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: SOK
Triple: [South Kenton, hasStationCode, SOK]
Generated description
SOK is the National Rail station code for South Kenton railway station in northwest London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SOK
Target entity description: SOK is the National Rail station code for South Kenton railway station in northwest London.
  • A. SOK
    SOK is the abbreviation for the Swedish Olympic Committee, the organization responsible for overseeing Sweden's participation in the Olympic Games.
  • B. SOKOM
    SOKOM is the Danish Special Operations Command, the unified headquarters responsible for overseeing Denmark’s elite special operations forces.
  • C. SOKO
    SOKO was a Yugoslav aircraft manufacturer known for producing military and training aircraft, including the Soko J-22 Orao attack jet.
  • D. SOCKOR
    SOCKOR is the United States military’s theater special operations command responsible for overseeing and coordinating special operations activities on the Korean Peninsula.
  • E. SOU
    SOU is the three-letter IATA airport code for Southampton Airport in Hampshire, England.
  • 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_69d6ab6a2b50819082f6aedd32ed608a completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d93f03d3c88190baedffb83465bff8 completed April 10, 2026, 6:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69f61e86d45881909a9a3c09df0b78f1 completed May 2, 2026, 3:55 p.m.
NEDg Description generation batch_69f622a646c481908164ae5387625bb4 completed May 2, 2026, 4:13 p.m.
NED2 Entity disambiguation (via description) batch_69f623f5aa608190bce3e62e08077216 completed May 2, 2026, 4:19 p.m.
Created at: April 8, 2026, 9:53 p.m.