Triple

T16354646
Position Surface form Disambiguated ID Type / Status
Subject Marine Combat Training Course E397143 entity
Predicate alsoKnownAs P39 FINISHED
Object MCT
MCT is a United States Marine Corps training program that provides non-infantry Marines with essential combat skills following recruit training.
 E1208843 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: MCT | Statement: [Marine Combat Training Course, alsoKnownAs, MCT]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MCT
Context triple: [Marine Combat Training Course, alsoKnownAs, MCT]
  • A. MCT
    MCT is the IATA airport code for Muscat International Airport, the main international gateway to Oman’s capital city, Muscat.
  • B. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • C. MCD
    MCD is the FAA location identifier for Mackinac Island Airport, a small public airport serving Mackinac Island in Michigan, USA.
  • D. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • E. MNT
    MNT is the Mongolian tögrög, the official national currency of Mongolia.
  • 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: MCT
Triple: [Marine Combat Training Course, alsoKnownAs, MCT]
Generated description
MCT is a United States Marine Corps training program that provides non-infantry Marines with essential combat skills following recruit training.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MCT
Target entity description: MCT is a United States Marine Corps training program that provides non-infantry Marines with essential combat skills following recruit training.
  • A. MCT
    MCT is the IATA airport code for Muscat International Airport, the main international gateway to Oman’s capital city, Muscat.
  • B. MCD
    MCD is a system of urban and suburban commuter rail lines in Moscow designed to function like an express metro, connecting the city with its surrounding regions.
  • C. MCD
    MCD is the FAA location identifier for Mackinac Island Airport, a small public airport serving Mackinac Island in Michigan, USA.
  • D. MCD
    MCD is the stock ticker symbol for McDonald’s Corporation, the world’s largest fast-food restaurant chain.
  • E. MNT
    MNT is the Mongolian tögrög, the official national currency of Mongolia.
  • 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_69d87f26864c819088365ca381a003c2 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2facd80dc8190b08f0eecbf787240 completed April 18, 2026, 3:30 a.m.
NED1 Entity disambiguation (via context triple) batch_6a002db841dc8190bfe8a0d8fca1b309 completed May 10, 2026, 7:03 a.m.
NEDg Description generation batch_6a002f46da5c81909c6e726fe89a3f81 completed May 10, 2026, 7:09 a.m.
NED2 Entity disambiguation (via description) batch_6a003063fd748190ba42c55b008202fc completed May 10, 2026, 7:14 a.m.
Created at: April 10, 2026, 5:07 a.m.