Triple
T6297847
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maroua |
E141174
|
entity |
| Predicate | airportIATAcode |
P418
|
FINISHED |
| Object |
MVR
MVR is the IATA airport code for the main airport serving Maroua in Cameroon.
|
E581801
|
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: MVR | Statement: [Maroua, airportIATAcode, MVR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MVR Context triple: [Maroua, airportIATAcode, MVR]
-
A.
MVRD
MVRD is the commonly used acronym for the regional government district that encompasses the metropolitan area of Vancouver in British Columbia, Canada.
-
B.
MVO
MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
-
C.
MIV
MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
-
D.
MVS
MVS (Multiple Virtual Storage) is an IBM mainframe operating system that became the dominant successor to OS/360, providing advanced virtual memory and multitasking capabilities for enterprise computing.
-
E.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
- 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: MVR Triple: [Maroua, airportIATAcode, MVR]
Generated description
MVR is the IATA airport code for the main airport serving Maroua in Cameroon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MVR Target entity description: MVR is the IATA airport code for the main airport serving Maroua in Cameroon.
-
A.
MVRD
MVRD is the commonly used acronym for the regional government district that encompasses the metropolitan area of Vancouver in British Columbia, Canada.
-
B.
MVO
MVO is a post-nominal honorific indicating appointment as a Member of the Royal Victorian Order, a dynastic order of knighthood recognizing distinguished personal service to the British monarch.
-
C.
MIV
MIV is a specialized market segment of Borsa Italiana dedicated to the listing and trading of investment vehicles such as closed-end funds and investment companies.
-
D.
MVS
MVS (Multiple Virtual Storage) is an IBM mainframe operating system that became the dominant successor to OS/360, providing advanced virtual memory and multitasking capabilities for enterprise computing.
-
E.
MVL
MVL is the abbreviation for the Man Vehicle Laboratory, a research lab focused on human factors and human–machine interaction in aerospace and related fields.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643bd0748190af7abbebb6f94242 |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c51993b8ec8190a0813d66851ac201 |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51eaa277c81908a4566da138c8047 |
completed | March 26, 2026, 11:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c51f583f788190ac716a02f584f093 |
completed | March 26, 2026, 11:58 a.m. |
Created at: March 22, 2026, 4:27 p.m.