Triple

T17308500
Position Surface form Disambiguated ID Type / Status
Subject Scone Railway Station E420228 entity
Predicate hasStationCode P1289 FINISHED
Object SCN
SCN is the National Rail station code for Scone railway station in Perth and Kinross, Scotland.
 E1261888 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: SCN | Statement: [Scone Railway Station, hasStationCode, SCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SCN
Context triple: [Scone Railway Station, hasStationCode, SCN]
  • A. SNSC
    SNSC is the acronym for Iran’s Supreme National Security Council, the top body responsible for formulating and coordinating the country’s national security and foreign policy strategies.
  • B. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • C. ZSCN
    ZSCN is the ICAO airport code assigned to Nanchang Changbei International Airport in Jiangxi Province, China.
  • D. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • E. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • 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: SCN
Triple: [Scone Railway Station, hasStationCode, SCN]
Generated description
SCN is the National Rail station code for Scone railway station in Perth and Kinross, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SCN
Target entity description: SCN is the National Rail station code for Scone railway station in Perth and Kinross, Scotland.
  • A. SNSC
    SNSC is the acronym for Iran’s Supreme National Security Council, the top body responsible for formulating and coordinating the country’s national security and foreign policy strategies.
  • B. SCHN
    SCHN is the stock ticker symbol for Schindler Group, a global manufacturer and service provider of elevators, escalators, and moving walkways.
  • C. ZSCN
    ZSCN is the ICAO airport code assigned to Nanchang Changbei International Airport in Jiangxi Province, China.
  • D. SC
    SC is the vehicle registration code used on license plates for the German town of Schwabach in Bavaria.
  • E. SC
    SC is the vehicle registration code used on license plates for vehicles registered in Częstochowa, a city in southern Poland.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e43900eca88190930af0e4ec4fc0f9 completed April 19, 2026, 2:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e30934819087b7c838c8874aff completed May 11, 2026, 7:10 a.m.
NEDg Description generation batch_6a0185a7e5188190a15d835019fc226f completed May 11, 2026, 7:30 a.m.
NED2 Entity disambiguation (via description) batch_6a0186504460819097f80978b03c7296 completed May 11, 2026, 7:33 a.m.
Created at: April 10, 2026, 5:43 a.m.