Triple

T20643481
Position Surface form Disambiguated ID Type / Status
Subject Moses Gate railway station E507289 entity
Predicate hasStationCode P1289 FINISHED
Object MSS
MSS is the National Rail station code for Moses Gate railway station in Greater Manchester, England.
 E1442126 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: MSS | Statement: [Moses Gate railway station, hasStationCode, MSS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSS
Context triple: [Moses Gate railway station, hasStationCode, MSS]
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. Mss
    Mss is the station code for Maassluis railway station in the Netherlands.
  • C. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • D. MSS (China)
    MSS (China) is the principal civilian intelligence, security, and secret police agency of the People's Republic of China, responsible for counterintelligence, foreign intelligence, and political security.
  • E. MSSA
    MSSA is the commonly used abbreviation for the Military Selective Service Act, the U.S. federal law that governs the registration and potential conscription of individuals for military service.
  • 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: MSS
Triple: [Moses Gate railway station, hasStationCode, MSS]
Generated description
MSS is the National Rail station code for Moses Gate railway station in Greater Manchester, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSS
Target entity description: MSS is the National Rail station code for Moses Gate railway station in Greater Manchester, England.
  • A. MSS
    MSS is the Mobile Servicing System, a Canadian-built robotic arm and handling system used on the International Space Station for assembly, maintenance, and payload operations.
  • B. Mss
    Mss is the station code for Maassluis railway station in the Netherlands.
  • C. MSSS
    MSSS is the acronym for Quebec’s Ministry of Health and Social Services, the provincial government body responsible for overseeing public health care and social services.
  • D. MSS (China)
    MSS (China) is the principal civilian intelligence, security, and secret police agency of the People's Republic of China, responsible for counterintelligence, foreign intelligence, and political security.
  • E. MSSA
    MSSA is the commonly used abbreviation for the Military Selective Service Act, the U.S. federal law that governs the registration and potential conscription of individuals for military service.
  • 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_69e0b4be702c8190a3d2410a881d310a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6af1c51f48190abba54a5aace9fc8 completed April 20, 2026, 10:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08c58cb86c81909b48e3cb231de171 completed May 16, 2026, 7:29 p.m.
NEDg Description generation batch_6a08c61afe688190bb6f755386e3df18 completed May 16, 2026, 7:31 p.m.
NED2 Entity disambiguation (via description) batch_6a08c6d846608190a1412b521b487ae7 completed May 16, 2026, 7:34 p.m.
Created at: April 16, 2026, 11:43 a.m.