Triple
T4828027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sangster International Airport |
E107872
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
MBJ
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
|
E471060
|
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: MBJ | Statement: [Sangster International Airport, IATAcode, MBJ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MBJ Context triple: [Sangster International Airport, IATAcode, MBJ]
-
A.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
B.
MBN
MBN is a U.S.-government-funded media organization that operates Arabic-language television, radio, and digital news services targeting audiences in the Middle East and North Africa.
-
C.
MBZ
MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
-
D.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
E.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
- 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: MBJ Triple: [Sangster International Airport, IATAcode, MBJ]
Generated description
MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MBJ Target entity description: MBJ is the IATA airport code for Sangster International Airport, the main tourist gateway serving Montego Bay, Jamaica.
-
A.
MBK
MBK is the station code for Muswellbrook railway station in New South Wales, Australia.
-
B.
MBN
MBN is a U.S.-government-funded media organization that operates Arabic-language television, radio, and digital news services targeting audiences in the Middle East and North Africa.
-
C.
MBZ
MBZ is the widely used acronym for Mohamed bin Zayed Al Nahyan, the President of the United Arab Emirates and Ruler of Abu Dhabi.
-
D.
MJ
MJ is the widely used nickname for Michael Jordan, the legendary American basketball player often regarded as the greatest in NBA history.
-
E.
MJ
MJ is a reimagined version of the Mary Jane Watson character who appears as Peter Parker’s sharp, observant classmate and love interest in the Marvel Cinematic Universe Spider-Man films.
- 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_69bd43fac8188190803f0327190621e4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6cc3dc0481909c8884dbe5043a71 |
completed | March 20, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be4dcd3ecc8190a5223f00344019ff |
completed | March 21, 2026, 7:50 a.m. |
| NEDg | Description generation | batch_69be4e6257e081908c0948945b9b4081 |
completed | March 21, 2026, 7:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be4eb4cc608190b8f0fef0a8e121f3 |
completed | March 21, 2026, 7:54 a.m. |
Created at: March 20, 2026, 1:24 p.m.