Triple

T14485789
Position Surface form Disambiguated ID Type / Status
Subject SCALP Naval E359225 entity
Predicate abbreviation P43 FINISHED
Object MdCN
MdCN is a French long-range naval cruise missile designed for precision strikes from surface ships and submarines.
 E1101081 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: MdCN | Statement: [SCALP Naval, abbreviation, MdCN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MdCN
Context triple: [SCALP Naval, abbreviation, MdCN]
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. Chóngwénmén
    Chóngwénmén is a historic gate area in central Beijing, China, known today as a major commercial and transportation hub.
  • C. Cn.
    Cn. is the standard Latin abbreviation for the ancient Roman praenomen (given name) Gnaeus.
  • D. CMa
    CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
  • E. MZH
    MZH is the National Rail station code for Maze Hill railway station in southeast London.
  • 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: MdCN
Triple: [SCALP Naval, abbreviation, MdCN]
Generated description
MdCN is a French long-range naval cruise missile designed for precision strikes from surface ships and submarines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MdCN
Target entity description: MdCN is a French long-range naval cruise missile designed for precision strikes from surface ships and submarines.
  • A. CNK
    CNK is the stock ticker symbol for Cinemark Holdings, Inc., a major American movie theater chain operator.
  • B. Chóngwénmén
    Chóngwénmén is a historic gate area in central Beijing, China, known today as a major commercial and transportation hub.
  • C. Cn.
    Cn. is the standard Latin abbreviation for the ancient Roman praenomen (given name) Gnaeus.
  • D. CMa
    CMa is the standard astronomical abbreviation for Canis Major, a prominent constellation in the southern sky that contains Sirius, the brightest star visible from Earth.
  • E. MZH
    MZH is the National Rail station code for Maze Hill railway station in southeast London.
  • 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_69d8279740308190af9df93a3af8592e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de924ee0f08190baf68318b41fa64d completed April 14, 2026, 7:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd64a73cf48190811d6de182e891c4 completed May 8, 2026, 4:20 a.m.
NEDg Description generation batch_69fd66d3f2448190b8926c479ce95e83 completed May 8, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_69fd67b5cd2c8190871d22ebdc64dd11 completed May 8, 2026, 4:33 a.m.
Created at: April 10, 2026, 1:20 a.m.