Triple
T2262100
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Memphis International Airport |
E50061
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
MEM
MEM is the three-letter IATA airport code for Memphis International Airport in Memphis, Tennessee.
|
E251305
|
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: MEM | Statement: [Memphis International Airport, IATAcode, MEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEM Context triple: [Memphis International Airport, IATAcode, MEM]
-
A.
Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
-
B.
Memory
"Memory" is the iconic, emotionally charged ballad from the musical Cats, renowned for its powerful vocals and themes of nostalgia and longing.
-
C.
RAM
RAM is the ICAO airline designator used to identify Royal Air Maroc in international aviation operations and communications.
-
D.
memantine
Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
-
E.
Mind
Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
- 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: MEM Triple: [Memphis International Airport, IATAcode, MEM]
Generated description
MEM is the three-letter IATA airport code for Memphis International Airport in Memphis, Tennessee.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: MEM Target entity description: MEM is the three-letter IATA airport code for Memphis International Airport in Memphis, Tennessee.
-
A.
Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
-
B.
Memory
"Memory" is the iconic, emotionally charged ballad from the musical Cats, renowned for its powerful vocals and themes of nostalgia and longing.
-
C.
RAM
RAM is the ICAO airline designator used to identify Royal Air Maroc in international aviation operations and communications.
-
D.
memantine
Memantine is a medication that helps manage symptoms of moderate to severe Alzheimer's disease by modulating glutamate activity in the brain.
-
E.
Mind
Mind is a leading peer-reviewed philosophy journal, especially known for influential work in analytic philosophy and the philosophy of language.
- 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_69a88b01e0048190ba96431b5f990ba9 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc18be8308190abc4a59d37dfd93a |
completed | March 7, 2026, 6:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71cdacb48190bc11e9e0e6b61ba0 |
completed | March 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69ae727388f48190bbb516e1cc907689 |
completed | March 9, 2026, 7:10 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae733c44008190ac1429da66cf77aa |
completed | March 9, 2026, 7:14 a.m. |
Created at: March 4, 2026, 7:48 p.m.