Triple

T10497898
Position Surface form Disambiguated ID Type / Status
Subject St Neots railway station E247587 entity
Predicate stationCode P1289 FINISHED
Object SNO
SNO is the National Rail station code for St Neots railway station in Cambridgeshire, England.
 E867214 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: SNO | Statement: [St Neots railway station, stationCode, SNO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SNO
Context triple: [St Neots railway station, stationCode, SNO]
  • A. Sno
    Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
  • B. SNJ
    SNJ is the U.S. Navy variant of the North American T-6 Texan advanced trainer aircraft used extensively during and after World War II.
  • C. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • D. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • E. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • 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: SNO
Triple: [St Neots railway station, stationCode, SNO]
Generated description
SNO is the National Rail station code for St Neots railway station in Cambridgeshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SNO
Target entity description: SNO is the National Rail station code for St Neots railway station in Cambridgeshire, England.
  • A. Sno
    Sno is a small mountain village in northeastern Georgia’s Kazbegi region, known for its traditional stone towers and scenic Caucasus landscapes.
  • B. SNJ
    SNJ is the U.S. Navy variant of the North American T-6 Texan advanced trainer aircraft used extensively during and after World War II.
  • C. RNO
    RNO is the three-letter IATA airport code for Reno–Tahoe International Airport, the primary commercial airport serving Reno, Nevada and the surrounding Lake Tahoe region.
  • D. RNO
    RNO is the stock ticker symbol for Renault, the French multinational automobile manufacturer listed on the Euronext Paris exchange.
  • E. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098d8ac481909c4adedbc4ad1c03 completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69d8dcc5816c8190a6a3927797942266 completed April 10, 2026, 11:19 a.m.
NEDg Description generation batch_69d8e8c9d5cc8190a425ed834855bbcd completed April 10, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69d901fecee88190999e88ca2e56a516 completed April 10, 2026, 1:58 p.m.
Created at: April 6, 2026, 12:25 p.m.