Triple

T7538805
Position Surface form Disambiguated ID Type / Status
Subject Sevenoaks railway station E178218 entity
Predicate stationCode P1289 FINISHED
Object SEV
SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
 E671966 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: SEV | Statement: [Sevenoaks railway station, stationCode, SEV]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SEV
Context triple: [Sevenoaks railway station, stationCode, SEV]
  • A. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • D. SE-D
    SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
  • E. SEPP
    SEPP (Security Edge Protection Proxy) is a 5G network security function that protects signaling traffic at the network edge, enabling secure and trusted interconnection between different operators’ networks.
  • 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: SEV
Triple: [Sevenoaks railway station, stationCode, SEV]
Generated description
SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SEV
Target entity description: SEV is the National Rail station code for Sevenoaks railway station in Kent, England.
  • A. SEEL
    SEEL is the abbreviation for the Space Environmental Effects Laboratory, a facility focused on studying how the space environment impacts materials and systems.
  • B. SEBL
    SEBL was the stock ticker symbol for Siebel Systems, a prominent customer relationship management (CRM) software company later acquired by Oracle.
  • C. SEGU
    SEGU is the ICAO airport code for José Joaquín de Olmedo International Airport, the main air gateway serving Guayaquil, Ecuador.
  • D. SE-D
    SE-D is the ISO 3166-2 regional code assigned to Dalarna County in Sweden.
  • E. SEPP
    SEPP (Security Edge Protection Proxy) is a 5G network security function that protects signaling traffic at the network edge, enabling secure and trusted interconnection between different operators’ networks.
  • 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_69c69f2be3888190a6667a27f8f195e9 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f87280f0819097d4ffc2e1b62cf8 completed March 27, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69c84f14d20c8190ab254f991cec0d94 completed March 28, 2026, 9:58 p.m.
NEDg Description generation batch_69c853ab496c8190ad35c7c00eb82160 completed March 28, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69c853f8e6808190bde26c01576cc22c completed March 28, 2026, 10:19 p.m.
Created at: March 27, 2026, 3:48 p.m.