Triple
T7062349
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clinton National Airport |
E164248
|
entity |
| Predicate | hasICAOcode |
P419
|
FINISHED |
| Object |
KLIT
KLIT is the ICAO airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
|
E638963
|
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: KLIT | Statement: [Clinton National Airport, hasICAOcode, KLIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KLIT Context triple: [Clinton National Airport, hasICAOcode, KLIT]
-
A.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
-
B.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
C.
KL
KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
-
D.
KL
KL is the squadron code historically used to identify No. 54 Squadron of the Royal Air Force on its aircraft and operational records.
-
E.
KL
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
- 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: KLIT Triple: [Clinton National Airport, hasICAOcode, KLIT]
Generated description
KLIT is the ICAO airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KLIT Target entity description: KLIT is the ICAO airport code for Bill and Hillary Clinton National Airport, the primary commercial airport serving Little Rock, Arkansas.
-
A.
KLAL
KLAL is the ICAO airport code for Lakeland Linder International Airport in Lakeland, Florida, a regional airport known for general aviation and cargo operations.
-
B.
KLu
KLu is the commonly used abbreviation for the Royal Netherlands Air Force, the aerial warfare branch of the Dutch armed forces.
-
C.
KL
KL is the abbreviation commonly used for the Royal Netherlands Army, the land forces branch of the Dutch Armed Forces.
-
D.
KL
KL is the two-letter IATA airline code assigned to KLM Royal Dutch Airlines.
-
E.
KL
KL is the official vehicle registration code assigned to the Indian state of Kerala.
- 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_69c688796c148190adb2f1596f595f22 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e45b7488819094d2dd337731dab9 |
completed | March 27, 2026, 8:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c788b4b6788190aa4e74b9e7eb7eaa |
completed | March 28, 2026, 7:52 a.m. |
| NEDg | Description generation | batch_69c7893f85588190b1ed983f00ea2532 |
completed | March 28, 2026, 7:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c78b0fe83481909cad77ce740b81d5 |
completed | March 28, 2026, 8:02 a.m. |
Created at: March 27, 2026, 2:38 p.m.