Triple

T16733857
Position Surface form Disambiguated ID Type / Status
Subject Seven Sisters railway station E406666 entity
Predicate hasStationCode P1289 FINISHED
Object SVS
SVS is the National Rail station code for Seven Sisters railway station in north London, England.
 E1230730 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: SVS | Statement: [Seven Sisters railway station, hasStationCode, SVS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SVS
Context triple: [Seven Sisters railway station, hasStationCode, SVS]
  • A. SVS
    SVS is a professional medical society representing vascular surgeons and advancing the science, education, and practice of vascular surgery.
  • B. SVJ
    SVJ is the three-letter IATA airport code for Svolvær Airport, Helle in Norway.
  • C. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • D. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • E. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • 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: SVS
Triple: [Seven Sisters railway station, hasStationCode, SVS]
Generated description
SVS is the National Rail station code for Seven Sisters railway station in north London, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SVS
Target entity description: SVS is the National Rail station code for Seven Sisters railway station in north London, England.
  • A. SVS
    SVS is a professional medical society representing vascular surgeons and advancing the science, education, and practice of vascular surgery.
  • B. SVJ
    SVJ is the three-letter IATA airport code for Svolvær Airport, Helle in Norway.
  • C. sva
    sva is the ISO 639-3 code for the Svan language, a Kartvelian language spoken by the Svan people in the Svaneti region of northwestern Georgia.
  • D. VSI
    VSI is the commonly used abbreviation for the "Very Short Introductions" series of concise, authoritative books published by Oxford University Press on a wide range of subjects.
  • E. SBSV
    SBSV is the ICAO airport code for Deputado Luís Eduardo Magalhães International Airport serving Salvador, Brazil.
  • 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_69d8838ffb088190a0b11149929006bf completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e39c38c9cc8190a3220cc3684388dc completed April 18, 2026, 2:59 p.m.
NED1 Entity disambiguation (via context triple) batch_6a009d4c723c8190ad92628f4164d11c completed May 10, 2026, 2:59 p.m.
NEDg Description generation batch_6a009e08b56c8190833d5f64945a979b completed May 10, 2026, 3:02 p.m.
NED2 Entity disambiguation (via description) batch_6a009eb06d6481909914286301f9b4db completed May 10, 2026, 3:05 p.m.
Created at: April 10, 2026, 5:20 a.m.