Triple

T11618754
Position Surface form Disambiguated ID Type / Status
Subject Vladykino MCC station E275577 entity
Predicate mapDesignation P19168 FINISHED
Object MCC-VD
MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
E937152 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-VD | Statement: [Vladykino MCC station, mapDesignation, MCC-VD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MCC-VD
Context triple: [Vladykino MCC station, mapDesignation, MCC-VD]
  • A. 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.
  • B. MCC
    MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
  • C. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • D. MCC
    MCC is the former name of the Horizon League, an NCAA Division I collegiate athletic conference in the United States.
  • 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-VD
Triple: [Vladykino MCC station, mapDesignation, MCC-VD]
Generated description
MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MCC-VD
Target entity description: MCC-VD is the map code used to designate the Vladykino station on Moscow’s Central Circle rail line.
  • A. MCC
    MCC is a mission control center system that coordinates and oversees spaceflight operations, including facilities such as the Yuzhnoye MCC station.
  • B. MCC
    MCC is the abbreviated name of Belgium’s naval branch within the Belgian Armed Forces.
  • 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 the Mars Colour Camera, an imaging instrument aboard India’s Mars Orbiter Mission used to capture color photographs of the Martian surface and atmosphere.
  • E. 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.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a047758081908191c1d564409d9a completed April 10, 2026, 7:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee873ee6888190ab6e87ed0f4ae731 completed April 26, 2026, 9:44 p.m.
NEDg Description generation batch_69ee9cf692e08190b135de0bd7f96274 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd715b448190b738479b7c1379a2 completed April 27, 2026, 2:44 a.m.
Created at: April 8, 2026, 9:38 p.m.