Triple
T1129047
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cape Air |
E24785
|
entity |
| Predicate | ICAOCode |
P419
|
FINISHED |
| Object |
KAP
KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
|
E129904
|
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: KAP | Statement: [Cape Air, ICAOCode, KAP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KAP Context triple: [Cape Air, ICAOCode, KAP]
-
A.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
B.
Ka
Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
-
C.
KCA
KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
KADW
KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
- 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: KAP Triple: [Cape Air, ICAOCode, KAP]
Generated description
KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KAP Target entity description: KAP is the ICAO airline designator used to identify Cape Air in international aviation operations.
-
A.
KP
KP is the commonly used abbreviation for Khyber Pakhtunkhwa, a province in northwestern Pakistan known for its mountainous terrain and diverse ethnic communities.
-
B.
Ka
Ka was an early ancient Egyptian king of the First Dynasty period, known from tomb inscriptions at Abydos and considered one of the first rulers to use a royal serekh.
-
C.
KCA
KCA is a nonprofit organization dedicated to providing life-saving HIV treatment, care, and support to children and families in underserved communities, particularly in Africa and India.
-
D.
KNA
KNA is the three-letter ISO 3166-1 alpha-3 country code assigned to Saint Kitts and Nevis.
-
E.
KADW
KADW is the ICAO airport code for Joint Base Andrews, a major U.S. military airfield near Washington, D.C.
- 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_69a4940712c88190aa244f3fc6070a65 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bbdea9b88190a88da718bf5c1897 |
completed | March 1, 2026, 10:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac59a82bb8819084f77aff9af653c0 |
completed | March 7, 2026, 5 p.m. |
| NEDg | Description generation | batch_69ac5a97f1408190855d8ea4f4317b07 |
completed | March 7, 2026, 5:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac5b1b5930819098f511db269e991d |
completed | March 7, 2026, 5:06 p.m. |
Created at: March 1, 2026, 7:44 p.m.