Triple

T2970313
Position Surface form Disambiguated ID Type / Status
Subject RMS Titanic E80262 entity
Predicate callSign P1565 FINISHED
Object MGY
MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
E314293 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: MGY | Statement: [RMS Titanic, callSign, MGY]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MGY
Context triple: [RMS Titanic, callSign, MGY]
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • C. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • D. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • E. MTY
    MTY is the IATA airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • 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: MGY
Triple: [RMS Titanic, callSign, MGY]
Generated description
MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MGY
Target entity description: MGY was the distinctive wireless call sign used by the RMS Titanic for its radio communications.
  • A. MG
    MG is a historic British automotive marque best known for its sports cars, now owned and produced by Chinese manufacturer SAIC Motor.
  • B. MGA
    MGA is a public university in Georgia, United States, offering a range of undergraduate and graduate programs across multiple campuses.
  • C. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • D. MYT
    MYT is the three-letter ISO 3166-1 alpha-3 country code assigned to the French overseas department and region of Mayotte.
  • E. MTY
    MTY is the IATA airport code for General Mariano Escobedo International Airport serving Monterrey, Mexico.
  • 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_69ad8b14ffe881908ffed62f9595c867 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad997282b481909d078be0e70d9930 completed March 8, 2026, 3:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fca6491c81909edaf6f495f17761 completed March 11, 2026, 5:24 a.m.
NEDg Description generation batch_69b1006c3ee48190b17b8216a8b700c9 completed March 11, 2026, 5:41 a.m.
NED2 Entity disambiguation (via description) batch_69b100dd4f108190b39926534096d6c7 completed March 11, 2026, 5:42 a.m.
Created at: March 8, 2026, 2:58 p.m.