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.