Triple
T19236779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Namangan Airport |
E481019
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
NMA
NMA is the three-letter IATA airport code assigned to Namangan Airport in Namangan, Uzbekistan.
|
E1365796
|
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: NMA | Statement: [Namangan Airport, IATAcode, NMA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NMA Context triple: [Namangan Airport, IATAcode, NMA]
-
A.
NMA, IAI
NMA, IAI is the abbreviated name for Japan’s National Museum of Art, which operates as an Independent Administrative Institution overseeing several major national art museums.
-
B.
NAM
NAM is a Dutch petroleum company historically responsible for natural gas extraction in the Groningen region, which has been linked to induced earthquakes there.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NAM
NAM is a United States military decoration awarded to members of the Navy and Marine Corps for meritorious service or achievement.
- 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: NMA Triple: [Namangan Airport, IATAcode, NMA]
Generated description
NMA is the three-letter IATA airport code assigned to Namangan Airport in Namangan, Uzbekistan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: NMA Target entity description: NMA is the three-letter IATA airport code assigned to Namangan Airport in Namangan, Uzbekistan.
-
A.
NMA, IAI
NMA, IAI is the abbreviated name for Japan’s National Museum of Art, which operates as an Independent Administrative Institution overseeing several major national art museums.
-
B.
NAM
NAM is a Dutch petroleum company historically responsible for natural gas extraction in the Groningen region, which has been linked to induced earthquakes there.
-
C.
NAM
NAM is the commonly used acronym for the National Academy of Medicine, a leading U.S. nonprofit institution that provides expert advice on health, medicine, and biomedical science.
-
D.
NAM
NAM is the commonly used abbreviation for the Non-Aligned Movement, an international grouping of states that sought to remain independent from major power blocs during the Cold War and beyond.
-
E.
NAM
NAM is a United States military decoration awarded to members of the Navy and Marine Corps for meritorious service or achievement.
- 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_69d8e8ccb8f48190ad420098e74fb1db |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5faed9ef0819085035cc17d1546e5 |
completed | April 20, 2026, 10:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705d7e1348190b3220603270ab03c |
completed | May 15, 2026, 11:39 a.m. |
| NEDg | Description generation | batch_6a07069434cc8190a91be8afb5bd88c8 |
completed | May 15, 2026, 11:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07074bd4288190b2f51e0392efcdc3 |
completed | May 15, 2026, 11:45 a.m. |
Created at: April 10, 2026, 1:26 p.m.