Triple
T2296221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Redmond Municipal Airport |
E51620
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
RDM
RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
|
E253693
|
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: RDM | Statement: [Redmond Municipal Airport, IATAcode, RDM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: RDM Context triple: [Redmond Municipal Airport, IATAcode, RDM]
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
C.
RdR
RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
-
D.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
E.
RDS2
RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
- 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: RDM Triple: [Redmond Municipal Airport, IATAcode, RDM]
Generated description
RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: RDM Target entity description: RDM is the IATA airport code for Redmond Municipal Airport, a commercial airport serving the Bend–Redmond area in central Oregon, USA.
-
A.
RM
RM is the currency symbol that was used to denote the German Reichsmark, the former official currency of Germany from 1924 to 1948.
-
B.
RMF
RMF (Resource Measurement Facility) is an IBM performance monitoring and reporting tool used to analyze and manage system resources on z/OS mainframe environments.
-
C.
RdR
RdR is the abbreviated name of the Council for German Orthography, the official body responsible for regulating and updating German spelling rules.
-
D.
RCM
RCM is a Canadian Earth observation satellite constellation that uses radar imaging to monitor environmental changes, maritime activity, and national security.
-
E.
RDS2
RDS2 is a Swiss French-language television channel that serves as a secondary sports-focused outlet to the main Réseau des sports (RDS) network.
- 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_69a88b0a9f248190bcff941463d8f65a |
completed | March 4, 2026, 7:42 p.m. |
| NER | Named-entity recognition | batch_69abc5dc40f881908a3dcc518bbead55 |
completed | March 7, 2026, 6:29 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae7f28db6c81909dbe55c704307da6 |
completed | March 9, 2026, 8:04 a.m. |
| NEDg | Description generation | batch_69ae7fd6e8608190b48f3a50ee62d664 |
completed | March 9, 2026, 8:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae804b402c81909a5fc68c6ee3decb |
completed | March 9, 2026, 8:09 a.m. |
Created at: March 4, 2026, 7:49 p.m.