Triple

T3849646
Position Surface form Disambiguated ID Type / Status
Subject MediaCityUK tram stop E85257 entity
Predicate hasStationCode P1289 FINISHED
Object MCS
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
 E392795 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: MCS | Statement: [MediaCityUK tram stop, hasStationCode, MCS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCS
Context triple: [MediaCityUK tram stop, hasStationCode, MCS]
  • A. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • B. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • C. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. 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.
  • E. MCP
    MCP is a comprehensive regulatory framework in Massachusetts that governs the assessment and cleanup of contaminated sites to protect public health and the environment.
  • 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: MCS
Triple: [MediaCityUK tram stop, hasStationCode, MCS]
Generated description
MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCS
Target entity description: MCS is the station code for the MediaCityUK tram stop on Greater Manchester’s Metrolink light rail network.
  • A. MCS
    MCS is the Mellon College of Science, a core academic division of Carnegie Mellon University known for its programs in the natural and mathematical sciences.
  • B. MCSC
    MCSC is the United States Marine Corps’ primary acquisition and systems command responsible for equipping Marines with modern weapons, vehicles, technology, and support systems.
  • C. CMCSA
    CMCSA is the stock ticker symbol for Comcast Corporation, a major American telecommunications and media conglomerate.
  • D. 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.
  • E. MCP
    MCP is a comprehensive regulatory framework in Massachusetts that governs the assessment and cleanup of contaminated sites to protect public health and the environment.
  • 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_69aed936de1c81908f91bed80f70abb2 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeebcde86081908cf3840ae002acfa completed March 9, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b504172d58819089d19f5cb7b803ec completed March 14, 2026, 6:45 a.m.
NEDg Description generation batch_69b504f32da48190a561cc72f0c4e827 completed March 14, 2026, 6:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5064192a48190a0f95dee872437e0 completed March 14, 2026, 6:54 a.m.
Created at: March 9, 2026, 3:19 p.m.