Triple
T22746511
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kenai Municipal Airport |
E562568
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object |
PAEN
PAEN is the ICAO airport code for Kenai Municipal Airport, a public airport serving the city of Kenai in Alaska, United States.
|
E1552617
|
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: PAEN | Statement: [Kenai Municipal Airport, hasICAOCode, PAEN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PAEN Context triple: [Kenai Municipal Airport, hasICAOCode, PAEN]
-
A.
PAE
PAE is the IATA airport code for Paine Field, a public airport in Everett, Washington, known for its proximity to Boeing’s widebody aircraft assembly plant.
-
B.
PAN
PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
-
C.
PAN
PAN is the Polish Academy of Sciences, a leading national institution that coordinates and conducts advanced scientific research in Poland.
-
D.
PAN
PAN is the FIFA trigramme used to represent Panama’s national football teams in international competitions.
-
E.
PAN
PAN is an experimental music project known for its dark, atmospheric sound and collaboration with electronic producer The Haxan Cloak.
- 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: PAEN Triple: [Kenai Municipal Airport, hasICAOCode, PAEN]
Generated description
PAEN is the ICAO airport code for Kenai Municipal Airport, a public airport serving the city of Kenai in Alaska, United States.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PAEN Target entity description: PAEN is the ICAO airport code for Kenai Municipal Airport, a public airport serving the city of Kenai in Alaska, United States.
-
A.
PAE
PAE is the IATA airport code for Paine Field, a public airport in Everett, Washington, known for its proximity to Boeing’s widebody aircraft assembly plant.
-
B.
PAN
PAN is the vehicle registration code assigned to the district of Rottal-Inn in Bavaria, Germany, which includes the town of Simbach am Inn.
-
C.
PAN
PAN is the Polish Academy of Sciences, a leading national institution that coordinates and conducts advanced scientific research in Poland.
-
D.
PAN
PAN is the FIFA trigramme used to represent Panama’s national football teams in international competitions.
-
E.
PAN
PAN is an experimental music project known for its dark, atmospheric sound and collaboration with electronic producer The Haxan Cloak.
- 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_69e245513a5c81908d5cb471b4fc429d |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b634b88190906edd92a971f921 |
completed | April 29, 2026, 3:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b8fd41bcc81909e23e380bf834ca5 |
completed | May 18, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_6a0b93d4b8e08190a0542ffc42f12814 |
completed | May 18, 2026, 10:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b94bbb9c88190a7ab0937d1b398a5 |
completed | May 18, 2026, 10:37 p.m. |
Created at: April 17, 2026, 3:24 p.m.