Triple
T6555168
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dodge City Regional Airport |
E152428
|
entity |
| Predicate | IATAcode |
P418
|
FINISHED |
| Object |
DDC
DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
|
E604729
|
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: DDC | Statement: [Dodge City Regional Airport, IATAcode, DDC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DDC Context triple: [Dodge City Regional Airport, IATAcode, DDC]
-
A.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
B.
DDC
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
-
C.
DCC
DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
-
D.
DCC
DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
-
E.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
- 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: DDC Triple: [Dodge City Regional Airport, IATAcode, DDC]
Generated description
DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DDC Target entity description: DDC is the IATA airport code for Dodge City Regional Airport, a public airport serving Dodge City in southwestern Kansas, United States.
-
A.
DDC
DDC is a widely used library classification system that organizes books and other materials into numbered subject categories for easy retrieval.
-
B.
DDC
DDC is the Dart Dev Compiler, a tool that compiles Dart code to efficient JavaScript for web development.
-
C.
DCC
DCC is a public community college located in Dutchess County, New York, offering two-year degree and certificate programs.
-
D.
DCC
DCC (Direct Client-to-Client) is an IRC protocol extension that enables users to establish direct connections for private chats and file transfers outside the main IRC server.
-
E.
DDF
DDF is the commonly used abbreviation for the Dicastery for the Doctrine of the Faith, the Vatican department responsible for promoting and safeguarding Catholic doctrine.
- 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_69c688058d6881908c19b309cc55dbfa |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae1c07cc819089c297edad943a57 |
completed | March 27, 2026, 4:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d55707d081908104f08e1d59d603 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d67574cc8190acf20c1a598c32ee |
completed | March 27, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d84076d48190ada0903af49613de |
completed | March 27, 2026, 7:19 p.m. |
Created at: March 27, 2026, 1:51 p.m.