Triple

T11127023
Position Surface form Disambiguated ID Type / Status
Subject Yuzhnoye MCC station E263165 entity
Predicate isPartOfSystem P840 FINISHED
Object MCC
MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
E907356 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: MCC | Statement: [Yuzhnoye MCC station, isPartOfSystem, MCC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCC
Context triple: [Yuzhnoye MCC station, isPartOfSystem, MCC]
  • A. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • B. MCC
    MCC is one of the shorter companion races of the Ultra-Trail du Mont-Blanc trail-running event, typically designed for newer trail runners and local participants.
  • C. MCC
    MCC is a historic Australian sporting club best known for managing the Melbourne Cricket Ground and playing a central role in the development of cricket.
  • D. MCC
    MCC is a historic and influential cricket club based at Lord’s in London, long regarded as the guardian of the Laws of Cricket.
  • E. MCC
    MCC is the Mars Colour Camera, an imaging instrument aboard India’s Mars Orbiter Mission used to capture color photographs of the Martian surface and atmosphere.
  • 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: MCC
Triple: [Yuzhnoye MCC station, isPartOfSystem, MCC]
Generated description
MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCC
Target entity description: MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
  • A. MCC
    MCC is the Mars Colour Camera, an imaging instrument aboard India’s Mars Orbiter Mission used to capture color photographs of the Martian surface and atmosphere.
  • B. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • C. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • D. MCC
    MCC is a U.S. foreign aid agency that provides time-limited grants to promote economic growth, reduce poverty, and strengthen institutions in developing countries.
  • E. MCC
    MCC is a historic Australian sporting club best known for managing the Melbourne Cricket Ground and playing a central role in the development of cricket.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e82fc5f88190b34c55de3d50f6a7 completed April 9, 2026, 5:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441dcb4608190a4cfa46c194d11ae completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c0606408190819b9d3fd58f818f completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e451274ce48190a05f1d37f972c36c completed April 19, 2026, 3:51 a.m.
Created at: April 8, 2026, 9:28 p.m.