Triple

T6513965
Position Surface form Disambiguated ID Type / Status
Subject Newton-on-Ayr railway station E148206 entity
Predicate stationCode P1289 FINISHED
Object NOA
NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
 E601395 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: NOA | Statement: [Newton-on-Ayr railway station, stationCode, NOA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NOA
Context triple: [Newton-on-Ayr railway station, stationCode, NOA]
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NOS
    NOS is the commonly used acronym for the National Ocean Service, a U.S. agency responsible for providing science, data, and services to understand and manage the nation’s oceans and coasts.
  • D. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • E. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • 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: NOA
Triple: [Newton-on-Ayr railway station, stationCode, NOA]
Generated description
NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NOA
Target entity description: NOA is the three-letter National Rail station code for Newton-on-Ayr railway station in South Ayrshire, Scotland.
  • A. NOH
    NOH was the former abbreviation used for the New Orleans Hornets NBA franchise before it was rebranded as the New Orleans Pelicans.
  • B. NOB
    NOB is the abbreviation for the Schweizerische Nordostbahn, a former Swiss railway company that operated in northeastern Switzerland in the 19th and early 20th centuries.
  • C. NOS
    NOS is the commonly used acronym for the National Ocean Service, a U.S. agency responsible for providing science, data, and services to understand and manage the nation’s oceans and coasts.
  • D. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • E. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c69f3db330819092503af4fb0649ea completed March 27, 2026, 3:16 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6cb6f934481908a95d7424aa23414 completed March 27, 2026, 6:24 p.m.
NEDg Description generation batch_69c6cd88f66c81909b364a816aeee8bf completed March 27, 2026, 6:33 p.m.
NED2 Entity disambiguation (via description) batch_69c6ce3a53cc8190a40d696a22ec65f4 completed March 27, 2026, 6:36 p.m.
Created at: March 27, 2026, 1:44 p.m.