Triple
T8505221
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tulsa International Airport |
E201316
|
entity |
| Predicate | ICAOcode |
P419
|
FINISHED |
| Object |
KTUL
KTUL is the ICAO airport code for Tulsa International Airport, a major commercial and military aviation facility serving Tulsa, Oklahoma.
|
E739362
|
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: KTUL | Statement: [Tulsa International Airport, ICAOcode, KTUL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KTUL Context triple: [Tulsa International Airport, ICAOcode, KTUL]
-
A.
ktu
ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
-
B.
KNTU
KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
-
C.
KTW
KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
-
D.
KUL
KUL is the IATA airport code for Kuala Lumpur International Airport, the main international gateway serving Malaysia’s capital region.
-
E.
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
- 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: KTUL Triple: [Tulsa International Airport, ICAOcode, KTUL]
Generated description
KTUL is the ICAO airport code for Tulsa International Airport, a major commercial and military aviation facility serving Tulsa, Oklahoma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KTUL Target entity description: KTUL is the ICAO airport code for Tulsa International Airport, a major commercial and military aviation facility serving Tulsa, Oklahoma.
-
A.
ktu
ktu is the ISO 639-2 code for Kituba, a widely used Bantu-based creole lingua franca in the Republic of the Congo and surrounding regions.
-
B.
KNTU
KNTU is the ICAO airport code for Naval Air Station Oceana, a major United States Navy jet base located in Virginia Beach, Virginia.
-
C.
KTW
KTW is the IATA airport code for Katowice International Airport serving the Silesian region of southern Poland.
-
D.
KUL
KUL is the IATA airport code for Kuala Lumpur International Airport, the main international gateway serving Malaysia’s capital region.
-
E.
KCLT
KCLT is the ICAO airport code for Charlotte Douglas International Airport, a major commercial aviation hub serving Charlotte, North Carolina.
- 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_69ca831fe47c8190b5c57b456d2aefa0 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe5d8b7208190b199c56bf366c692 |
completed | March 31, 2026, 3:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce4e3037e4819090677c7dc607e8f2 |
completed | April 2, 2026, 11:08 a.m. |
| NEDg | Description generation | batch_69ce4ff88ff48190a5641635187a9e4f |
completed | April 2, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce50fd3150819097562093bee78a6d |
completed | April 2, 2026, 11:20 a.m. |
Created at: March 30, 2026, 6:14 p.m.