Triple

T11194075
Position Surface form Disambiguated ID Type / Status
Subject Marsden railway station E264875 entity
Predicate stationCode P1289 FINISHED
Object MSN
MSN is the National Rail station code for Marsden railway station in West Yorkshire, England.
 E910883 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: MSN | Statement: [Marsden railway station, stationCode, MSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSN
Context triple: [Marsden railway station, stationCode, MSN]
  • A. MSN
    MSN is a Microsoft-owned web portal and collection of Internet services offering news, entertainment, email, and other online content.
  • B. MSN
    MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
  • C. MSN Messenger
    MSN Messenger was a widely used instant messaging client developed by Microsoft that enabled real-time text, voice, and video communication over the internet.
  • D. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • E. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • 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: MSN
Triple: [Marsden railway station, stationCode, MSN]
Generated description
MSN is the National Rail station code for Marsden railway station in West Yorkshire, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSN
Target entity description: MSN is the National Rail station code for Marsden railway station in West Yorkshire, England.
  • A. MSN
    MSN is a Microsoft-owned web portal and collection of Internet services offering news, entertainment, email, and other online content.
  • B. MSN
    MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
  • C. MSN Messenger
    MSN Messenger was a widely used instant messaging client developed by Microsoft that enabled real-time text, voice, and video communication over the internet.
  • D. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • E. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • 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_69d6aa9eb9248190b20211772621b4bc completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8bf14e481908563b15790af4d20 completed April 9, 2026, 5:58 p.m.
NED1 Entity disambiguation (via context triple) batch_69e483f8ecf4819086f0bab3ca9ddcb4 completed April 19, 2026, 7:27 a.m.
NEDg Description generation batch_69e4878971cc8190aaa1fe32b32925a8 completed April 19, 2026, 7:43 a.m.
NED2 Entity disambiguation (via description) batch_69e4890e8ab881909c85593067041994 completed April 19, 2026, 7:49 a.m.
Created at: April 8, 2026, 9:29 p.m.