Triple
T15816421
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shreveport Downtown Airport |
E383489
|
entity |
| Predicate | FAAcode |
P420
|
FINISHED |
| Object |
DTN
DTN is the FAA airport code for Shreveport Downtown Airport, a general aviation facility serving the Shreveport, Louisiana area.
|
E617687
|
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: DTN | Statement: [Shreveport Downtown Airport, FAAcode, DTN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DTN Context triple: [Shreveport Downtown Airport, FAAcode, DTN]
-
A.
DTN
DTN is the National Rail station code for Denton railway station in Greater Manchester, England.
-
B.
KDTN
KDTN is the ICAO airport code for Shreveport Downtown Airport, a general aviation facility serving Shreveport, Louisiana.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
E.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
- 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: DTN Triple: [Shreveport Downtown Airport, FAAcode, DTN]
Generated description
DTN is the FAA airport code for Shreveport Downtown Airport, a general aviation facility serving the Shreveport, Louisiana area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: DTN Target entity description: DTN is the FAA airport code for Shreveport Downtown Airport, a general aviation facility serving the Shreveport, Louisiana area.
-
A.
DTN
chosen
DTN is the National Rail station code for Denton railway station in Greater Manchester, England.
-
B.
KDTN
KDTN is the ICAO airport code for Shreveport Downtown Airport, a general aviation facility serving Shreveport, Louisiana.
-
C.
DTL
DTL is a type of linear accelerator structure that uses a series of drift tubes within an RF cavity to efficiently accelerate charged particle beams.
-
D.
DTTA
DTTA is the ICAO airport code for Tunis–Carthage International Airport, the main international gateway serving Tunis, the capital of Tunisia.
-
E.
DTCL
DTCL is the Office of Defense Trade Controls Licensing within the U.S. Department of State that reviews and authorizes exports of defense articles and services under the International Traffic in Arms Regulations (ITAR).
- F. None of above.
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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0c4a306a48190840adc49df2c26c5 |
completed | April 16, 2026, 11:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa13392c48190b03cbed9df5a32a6 |
completed | May 9, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69ffa417ee248190808b0fecfb58d705 |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa5372f248190827cdc4985fee1ef |
completed | May 9, 2026, 9:20 p.m. |
Created at: April 10, 2026, 4:49 a.m.