Triple
T13432453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mashhad International Airport |
E313645
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
MHD
MHD is the IATA airport code for Mashhad International Airport, a major air travel hub serving the city of Mashhad in northeastern Iran.
|
E1040652
|
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: MHD | Statement: [Mashhad International Airport, IATAcode, MHD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MHD Context triple: [Mashhad International Airport, IATAcode, MHD]
-
A.
MHD
MHD is a French rapper known for pioneering the Afro trap genre, blending hip-hop with African musical influences.
-
B.
MHDYS
MHDYS was a king of the ancient Kingdom of Aksum, known from inscriptions and coins as a later Aksumite ruler active during the 4th–5th centuries CE.
-
C.
HdM
HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
-
D.
MHR
MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
-
E.
MDC
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
- 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: MHD Triple: [Mashhad International Airport, IATAcode, MHD]
Generated description
MHD is the IATA airport code for Mashhad International Airport, a major air travel hub serving the city of Mashhad in northeastern Iran.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MHD Target entity description: MHD is the IATA airport code for Mashhad International Airport, a major air travel hub serving the city of Mashhad in northeastern Iran.
-
A.
MHD
MHD is a French rapper known for pioneering the Afro trap genre, blending hip-hop with African musical influences.
-
B.
MHDYS
MHDYS was a king of the ancient Kingdom of Aksum, known from inscriptions and coins as a later Aksumite ruler active during the 4th–5th centuries CE.
-
C.
HdM
HdM is the commonly used abbreviation for Stuttgart Media University, a German university specializing in media, information, and communication studies.
-
D.
MHR
MHR is the three-letter IATA airport code for Mather Airport, a public airport serving the Sacramento, California area.
-
E.
MDC
MDC is the three-letter IATA airport code for Sam Ratulangi International Airport serving Manado in North Sulawesi, Indonesia.
- 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_69d806ad0c44819088833ae1ec9e9690 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaed41a5481908800033303224adb |
completed | April 12, 2026, 2:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7398da07081908c3eca6fc4213930 |
completed | May 3, 2026, 12:03 p.m. |
| NEDg | Description generation | batch_69f73b065818819095d26633fc682546 |
completed | May 3, 2026, 12:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f73b8635888190b31035bc72676b9d |
completed | May 3, 2026, 12:11 p.m. |
Created at: April 9, 2026, 9:40 p.m.