Triple
T7761302
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte–Monroe Executive Airport |
E176026
|
entity |
| Predicate | ICAO code |
P419
|
FINISHED |
| Object |
KEQY
KEQY is the ICAO airport code for Charlotte–Monroe Executive Airport, a public general aviation airport serving the Monroe and greater Charlotte, North Carolina area.
|
E687969
|
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: KEQY | Statement: [Charlotte–Monroe Executive Airport, ICAO code, KEQY]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KEQY Context triple: [Charlotte–Monroe Executive Airport, ICAO code, KEQY]
-
A.
KQ
KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
-
B.
QKE
QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
-
C.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
D.
QK
QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
-
E.
KY3
KY3 is a postcode district in the Kirkcaldy area of Fife, Scotland, covering coastal communities including Pettycur and its surroundings.
- 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: KEQY Triple: [Charlotte–Monroe Executive Airport, ICAO code, KEQY]
Generated description
KEQY is the ICAO airport code for Charlotte–Monroe Executive Airport, a public general aviation airport serving the Monroe and greater Charlotte, North Carolina area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: KEQY Target entity description: KEQY is the ICAO airport code for Charlotte–Monroe Executive Airport, a public general aviation airport serving the Monroe and greater Charlotte, North Carolina area.
-
A.
KQ
KQ is the IATA airline designator for Kenya Airways, the flag carrier of Kenya.
-
B.
QKE
QKE is the IATA airport code for Kleine-Brogel Air Base, a military airfield in Belgium.
-
C.
CQ
CQ is a 2001 independent film directed by Roman Coppola that blends retro-futuristic sci-fi and personal drama in a stylized homage to 1960s European cinema.
-
D.
QK
QK is the former IATA airline designator once assigned to Eastern Provincial Airways, a regional carrier in Canada.
-
E.
KY3
KY3 is a postcode district in the Kirkcaldy area of Fife, Scotland, covering coastal communities including Pettycur and its surroundings.
- 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c704036c588190a441e56c738cc309 |
completed | March 27, 2026, 10:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7d658888190af97b83127086a2b |
completed | March 29, 2026, 6:33 a.m. |
| NEDg | Description generation | batch_69c8c87bca908190a44e839824c23e95 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8e5e9f081908288b38ea25e81d2 |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:09 p.m.